The two‑day event took place Feb. 4 – 5, coinciding with the Critical Minerals Ministerial hosted by U.S. Secretary of State Marco Rubio in Washington, D.C., on Feb. 4, which brought together more than 50 nations to strengthen and diversify global critical mineral supply chains. During this ministerial, U.K. Minister Seema Malhotra and U.S. Under Secretary of State Jacob Helberg signed a Critical Minerals Memorandum of Understanding, strengthening bilateral cooperation between the United States and the United Kingdom on critical mineral supply chains. 

These broad efforts are supported by White House Executive Order 14363, which defines the Genesis Mission and aims to accelerate scientific discovery through AI. The order identifies critical minerals supply chain resilience as a national security imperative.

In Atlanta, these themes were brought to life in real time. The GEMs-4 workshop brought together researchers, policymakers, national labs, industry leaders, and workforce organizations from both the U.S. and the U.K. to address shared challenges in technology translation, permitting, investment, and talent development. 

The state of Georgia’s integrated ecosystem, linking research universities, legacy industries, technical colleges, national labs, and public‑private partnerships, served as a case study. Presenters highlighted how existing industrial assets in the Southeast are being incorporated into emerging clean energy and critical minerals supply chains, offering a model for other regions seeking to build capabilities around extraction, processing, and manufacturing.

A U.K. member of Parliament representing Cornwall, where the U.K. has lithium reserves and deep critical mineral expertise, joined the convening, as well as representatives from the U.K. Critical Mineral Association, Camborne School of Mines, and the University of Kent. Together, they explored opportunities and challenges, from a fundamental science to a commercialization perspective grounded in real-world experience. 

The alignment between the ministerial in Washington and the expertise present in Atlanta demonstrated the value of state-level engagement and how national agreements translate into practical collaboration on the ground. 

“The Southeast has the research depth, industrial footprint, and collaborative spirit needed to lead in critical minerals innovation,” said Yuanzhi Tang, Georgia Power Professor in the School of Earth and Atmospheric Sciences, executive director of the Strategic Energy Institute, and founding director of the Center for Critical Mineral Solutions at Georgia Tech. “GEMs‑4 showed what’s possible when universities, industry, and government partners align around shared priorities.” 

Day one featured strategic dialogue on critical mineral resources, innovation pathways, and partnership models. A recurring theme was the co-production of critical minerals alongside major mineral commodities. “Many critical minerals are produced as byproducts of larger mining operations, making it essential to integrate recovery strategies into existing mineral industries rather than developing entirely new extraction systems,” noted Crawford Elliott, professor of geosciences at Georgia State University.

Day two transitioned to field‑based learning, led by Paul Schroeder, professor of geology at the University of Georgia. Participants visited active operations to better understand how regional industrial strengths can support national and international supply chain goals. Schroeder said, “Connecting people to the long-standing mineral extraction economy at the mining and plant sites, where the work gets done with an amazingly skilled workforce, underscores the unique role of Georgia’s place‑based capacity in advancing national and transatlantic supply chain goals.”

Organizers emphasized that resilient supply chains rely on regional capabilities built over time through university collaboration, industry partnerships, and community engagement. With three years of inter‑university coordination now underpinning the GEMS platform, the 2026 workshop demonstrated how the Southeast is contributing actionable models for U.S.-U.K. cooperation.

“Ecosystem-building at this scale requires participation from every part of the value chain, and we are encouraged by the model GEMs presents,” said Rachel Galloway, Consul General at British Consulate General Atlanta. “The collaboration across universities, industry, and government is exactly what enables long‑term impact on both sides of the Atlantic.”

Through focused dialogue and partnership-building, the symposium strengthened transatlantic collaboration, highlighted regional strengths, and accelerated innovation and translation across the critical minerals value chain, from resource characterization and processing to recycling, manufacturing, and deployment.

For more information about the GEMS initiative, visit: https://gems.research.gatech.edu/.

“The effects move slowly and appear in places people do not connect to energy,” said Tibor Besedes, professor in the School of Economics. “Oil and natural gas are part of the cost structure for an enormous range of goods.”

About 20% of global oil and liquefied natural gas flows through the waterway linking the Persian Gulf to world markets. When that flow is constrained, the impact ripples outward across industries most people never associate with an energy crisis.

“In complex supply chains, a disruption in one critical link, even if only briefly, can cascade through the system, well beyond the initial event,” says Pinar Keskinocak, chair and professor in the H. Milton Stewart School of Industrial and Systems Engineering. “As delays persist and compound, interconnected systems often take a long time to recover, rebalance, and return to normal.”

Price Pressures That Arrive Quietly

Early effects are already visible. 

Jet fuel availability is tightening, and diesel prices are rising across Asia. China has ordered refineries to stop exporting fuel, creating shortages that are increasing shipping costs for U.S. imports, from consumer electronics to pharmaceuticals.

The strait is also a key corridor for naphtha, a feedstock used to produce plastics, packaging, solvents, textiles, and pharmaceutical components. Roughly 85% of Middle Eastern polyethylene exports move through the strait. 

“Consumers won't see the effect of this quickly,” Besedes says, “but the longer the strait is closed, the higher the cost will be of all of these products naphtha is used for.”

Aluminum is equally exposed. 

“Smelters require sustained, low-cost energy,” said Chris Gaffney, a professor of the practice in the Stewart School. “The Middle East accounted for roughly 21% of U.S. unwrought aluminum imports in 2025. When energy prices spike or supply is constrained, capacity is reduced or shut down, and those decisions are difficult and slow to reverse.”

Fertilizer is one of the clearest examples of delayed inflation. Natural gas is essential for its production, and Persian Gulf states account for one-third of global urea exports and half of global sulfur exports. Urea prices at the New Orleans import hub have already climbed sharply.

“We won't see the effects quickly, but rather in six to 12 months, depending on the crop and its cycle,” Besedes says. “Without or with less fertilizer, crop yields will decrease, resulting in higher prices.”

Why Hormuz Is Different From Other Chokepoints

On top of all those factors, the strait closure presents a uniquely dangerous vulnerability. 

“Unlike a port strike or canal blockage, there is no meaningful way to reroute volume,” says Gaffney. “If it is disrupted, flow is constrained rather than redirected.” Pipeline alternatives replace only a fraction of the 20 million barrels per day that normally transit the strait.

“Choke point vulnerability arises when a large portion of flow depends on a route that is hard to substitute,” said Mathieu Dahan, associate professor in the Stewart School. “Hormuz has no scalable alternatives with sufficient capacity.” 

Alan Erera, senior associate chair in the Stewart School expanded on Dahan’s point, noting that strait disruptions raise costs across manufacturing and distribution.

“Ships are rerouted onto longer paths, which drives up fuel and labor costs, ties up vessels and containers for longer periods, and ultimately raises inventory costs for shippers because capital is locked up while goods are still in transit,” Erera said.

When Geopolitics Meets Global Supply Chains

Additionally, the strait closure raises the risk of wartime miscalculation. 

“We haven’t seen a disruption on this scale since the tanker wars of the late 1980s,” said Larry Rubin, associate professor in the Sam Nunn School of International Affairs. Gulf states' dependence on the strait constrains both regional actors and U.S. strategy, raising risks around crisis decision-making.

Rubin also points to a dimension most coverage has missed entirely. “One thing that has been overlooked by many commentators is the fact that the Iranian people have probably been hit the hardest economically,” he says. “They were already in a challenging situation. The Iranian economy won't recover quickly after the war.”

Resilience Has a Short Memory

Meanwhile, for the United States, “The Strategic Petroleum Reserve provides a buffer, and domestic energy production has improved resilience,” says Gaffney. “But the gap remains between enabling capacity and sustaining resilience. Policy can support infrastructure, but it cannot ensure private sector participants invest in resilience when cost pressures rise.”

For policymakers and industry leaders, the disruption reinforces a familiar pattern. "The supply chain remains optimized for efficiency rather than resilience, in part due to the high investment costs required to build flexibility," says Dahan. 

Gaffney added that resilience does improve after disruption, but that “it erodes over time if not actively maintained.”

Even if the strait reopens, higher costs and slow restart timelines mean the system will not snap back. Experts suggest that when headlines have moved on from this disruption, it will still be shaping prices across the economy. 

The paper examines various strategies for enhancing the flexibility of data center energy use. One approach is to use backup power systems, such as uninterruptible power supplies, to support the grid during emergencies. Another method involves rerouting computing jobs to different data centers in other locations to balance energy demand. The authors also discuss implementing smart scheduling techniques that shift workloads to off-peak hours, reducing strain on the grid. Additionally, they highlight adjusting processor speeds by lowering CPU (central processing unit) and GPU (graphics processing unit) clock rates to limit power consumption when needed. Finally, the paper suggests pre-cooling data center equipment to limit the energy required for cooling during peak demand periods. Notably, experimental evidence shows that underclocking GPUs can cut power consumption by 40% with only a 22% performance loss, suggesting technical feasibility for demand-response interventions.

Despite these technical options, the authors find that real-world cost considerations and reliability concerns limit widespread adoption. Data center operators generally do not change their behavior in response to electricity prices, as job revenue far outweighs energy costs under normal conditions. For example, a GPU rented at $2 per hour consumes only $0.04 worth of electricity at average prices, making curtailment unattractive except during extreme price spikes. Surveys indicate that operators are reluctant to compromise reliability or deploy backup systems for ancillary services. Consequently, price-based incentives alone are unlikely to drive meaningful flexibility.

Read more on the EPIcenter Webpage
Listen to a podcast on the research here

As new data centers continue to be built and proposed in Georgia, counties and municipalities across the state are considering how to guide this growth. EPIcenter’s data center dashboard provides policymakers, planners, researchers, and community stakeholders with a centralized resource to better understand how data center regulations are being developed and applied across Georgia and the U.S.

“Our Data Center Hub provides Georgia communities with a one-stop shop to understand how their neighbors are managing land-use regulations for data centers,” said Laura Taylor, director of EPIcenter. “It brings together clear, accessible information to help jurisdictions plan when data center growth occurs in their area.”

The dashboard is organized around five thematic areas commonly addressed in data center land-use regulations: Site Planning and Building Design, Infrastructure and Utilities, Environmental and Community Protections, Public Safety and Security, and Lifecycle Governance. Within each theme, users can explore specific regulatory topics and access the relevant ordinances enacted by Georgia communities.

To build the dashboard, EPIcenter researchers conducted a comprehensive review of municipal codes across the state.

“We reviewed municipal codes for about 180 cities and counties across Georgia and identified ordinances that specifically address data center development,” said Yang You, EPIcenter’s research associate who developed the project. “In total, we found 19 data center-specific topics that ordinances tend to cover. We analyzed ordinances across jurisdictions and organized their ordinance provisions into topics such as building placement, setbacks, infrastructure, and environmental considerations to make it easier to compare how different jurisdictions regulate data centers.”

You added that the dashboard also incorporates examples from outside of Georgia. By gathering ordinances from other states and pairing them with Georgia-specific examples, EPIcenter aims to provide a clear framework to help communities efficiently address data center land-use regulation.

The Georgia Data Center Ordinance Hub is available through the Energy Policy and Innovation Center website.

Reliable energy is required to keep safe in cold winters and hot summers, making it a matter of national security. There are also vying economic policies to consider, political and financial incentives to navigate, and questions of social and economic inequality.

Experts in Georgia Tech’s Ivan Allen College of Liberal Arts examine the challenges we face with the U.S. energy transition, and work to help make it safe, fair, and effective for all.

• Challenge No. 1: Managing National Security — with Adam N. Stulberg, professor and chair of the Sam Nunn School of International Affairs.
• Challenge No. 2: Confronting Inequality — with Bijesh Mishra, a postdoctoral scholar in the Jimmy and Rosalynn Carter School of Public Policy.
• Challenge No. 3: Choosing the Right Economic Policies — with Bobby Harris, an assistant professor in the School of Economics.
• Challenge No. 4: Navigating Financial and Political Incentives — with Kate Pride Brown, a sociologist in the School of History and Sociology.

Read the article on the Ivan Allen College website.

Set in the heart of Tech Square on the Georgia Tech campus, this year’s event explores how energy systems, materials, technologies, supply chains, and policy must evolve in response to AI’s accelerating impact. As digital infrastructure expands and computation intensifies, the need for reliable, resilient, and sustainable power has never been more urgent. 

“Energy Day reflects Georgia Tech’s strength in connecting world-class research in materials and components with the infrastructure and partnerships needed to translate discovery into scalable energy technologies that serve industry, society, and the future economy,” said Eric Vogel, executive director of the IMS and the Hightower Professor in Materials Science and Engineering. 

Energy Day 2026 also marks an important milestone with the introduction of its first group of corporate sponsors: GE Vernova, Southern Company, Georgia Power, ExxonMobil, Southwire Spark, Gems Setra, and Tektronix. Their support reflects a shared commitment to advancing energy solutions. 

“Tektronix is excited to be part of Energy Day because advancing the future of energy starts with precise measurement and trusted insights,” said Christopher Bohn, president of Tektronix. “From power electronics and high voltage systems to grid scale renewables and AI driven control technologies, the breakthroughs discussed here directly align with the innovations we support through our products and solutions. Collaborating with Georgia Tech allows us to engage early with emerging research and the next generation of engineers—critical collaborators in building a cleaner, smarter, and more resilient energy ecosystem.”

The keynote address will be delivered by Vanessa Z. Chan, a nationally recognized leader at the intersection of innovation, commercialization, and emerging technologies. Chan will provide insights on accelerating technological discovery, emphasizing how AI is transforming energy and materials design. She will discuss how commercialization strategies must rapidly evolve across multidisciplinary energy domains from grid modernization to advanced batteries and clean manufacturing.

Building on the themes introduced in the keynote, the program transitions into a fireside chat with Georgia Tech EVPR Tim Lieuwen featuring Amit Kulkarni and Jim Walsh. Kulkarni is vice president of Product Management and Strategy for the Gas Power business within GE Vernova, where he oversees the world’s largest portfolio of power generation equipment. Walsh, vice president of GE Vernova’s Consulting Services, leads teams providing innovative solutions across the full spectrum of power generation, delivery, and utilization.

Next comes a policy-focused panel that will explore the surge in power demand driven by AI, how the United States is addressing today’s most urgent energy challenges, and the long-term implications of today’s decisions for a sustainable energy future. Bringing together leading voices in U.S. environmental and energy policy, the panel features Joe Aldy of Harvard University and former special assistant to the president for Energy and Environment; Al McGartland of New York University’s Institute for Policy Integrity and former Environmental Protection Agency lead economist and director of the National Center for Environmental Economics; and Kevin Rennert, fellow and director of the Comprehensive Climate Strategies Program at Resources for the Future and former staff member on the U.S. Senate Committee on Energy and Natural Resources.

The second panel focuses on critical materials — the foundation of advanced energy systems and digital technologies. As AI, data centers, and advanced energy technologies drive demand for critical materials, securing them now requires integration and coordination across the entire value chain. Panelists include Rachel Galloway, British consul general in Atlanta; Vijay Murugesan, head of Materials Intelligence and Digital Innovation at Amazon; Colin Spellmeyer, executive strategic sourcing leader at GE Vernova;  Charles Sims, Tennessee Valley Authority Distinguished Professor of Energy and Environmental Policy at the University of Tennessee; and Nortey Yeboah, principal engineer at Southern Company. Together, they will offer perspectives on the policy and economic frameworks shaping the energy supply chain, from developing raw resources to manufacturing the technologies essential to future energy systems.

In the afternoon, participants can dive deeper into specialized topics through three focused technical tracks. 

• “Meeting the Demand for Power” will examine how emerging technologies, advanced nuclear systems, and renewable integration can work together to deliver reliable, resilient electricity.
• “Data Center Infrastructure and Resources” will explore innovations in thermal management technologies, energy-efficient computing, and the broader resource impacts of expanding digital infrastructure.
• “Grid Technologies and Markets” will highlight strategies for strengthening grid capacity, incorporating demand-side management, and optimizing carbon performance as energy systems evolve.

“Meeting the rapidly rising electricity demand driven by AI requires bold ideas, coordinated action, and research that moves at the speed of innovation,” said Yuanzhi Tang, executive director of the SEI. “Energy Day 2026 brings together the people and expertise needed to shape resilient, sustainable energy systems for the future. At Georgia Tech, we see this event as a catalyst for new partnerships, new solutions, and a shared commitment to strengthening the nation’s energy foundation.”

Energy Day 2026 is designed for researchers advancing emerging energy technologies, policymakers navigating shifting regulatory and geopolitical landscapes, industry professionals seeking insight into emerging tools and supply chains, and students preparing to enter one of the most consequential sectors of the decade. It also welcomes anyone interested in AI, sustainability, electrification, and critical materials. 

Join us to explore the future of energy. To learn more and register, visit: Energy Day 2026.

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy (DOE), Tang’s work brings clean, sustainable energy closer to reality.

Tang has received an Early Career Research Program (ECRP) award from the DOE Office of Science. The grant supports Tang with $875,000 disbursed over five years to craft ML and data processing tools that help scientists analyze massive datasets from nuclear experiments and simulations.

Tang is the first faculty member from Georgia Tech’s College of Computing and School of Computational Science and Engineering (CSE) to receive the ECRP. He is the seventh Georgia Tech researcher to earn the award and the only GT awardee among this year’s 99 recipients.

More than a milestone, the award reflects a shift in how nuclear research is done. Today, progress depends on computing and data science as much as on physics and engineering.

“I am honored and excited to receive the ECRP award through DOE’s Advanced Scientific Computing Research program, an organization I care about deeply,” said Tang, an assistant professor in the School of CSE. 

“I am grateful to my former colleagues at Los Alamos National Laboratory and collaborators at other national laboratories, including Lawrence Livermore, Sandia, and Argonne. I am also thankful for my Ph.D. students at Georgia Tech, whose dedication and creativity make this award possible.”

[Related: New Faculty Applies High-Performance Computing, Scientific Machine Learning Interests to Studies in Plasma Physics]

A problem in nuclear research is that fusion simulations are challenging to understand and use. These simulations generate enormous datasets that are too large to store, move, and analyze efficiently.

In his ECRP proposal to DOE, Tang introduced new ML methods to improve the analysis and storage of particle data.

Tang’s approach balances shrinking data so it is easier to store and transfer while preserving the most important scientific features. His multiscale ML models are informed by physics, so the reduced data still reflects how fusion systems really behave.

With Tang’s research, scientists can run larger, more realistic fusion models and analyze results more quickly. This accelerates progress toward practical fusion energy.

“In contrast to generic black-box-type compression tools, we aim at preserving the intrinsic structures of the particle dataset during the data reduction processes,” Tang said. 

“Taking this approach, we can meet our goal of achieving high-fidelity preservation of critical physics with minimum loss of information.”

Computing is essential in modern research because of the amount of data produced and captured from experiments and simulations. In the era of exascale supercomputers, data movement is a greater bottleneck than actual computation.

DOE operates three of the world’s four exascale supercomputers. These machines can calculate one quintillion (a billion billion) operations per second.

The exascale era began in 2022 with the launch of Frontier at Oak Ridge National Laboratory. Aurora followed in 2023 at Argonne National Laboratory. El Capitan arrived in 2024 at Lawrence Livermore National Laboratory.

With Tang’s data reduction approaches, all of DOE’s supercomputers spend more time on science and less time waiting for data transfers.

“Qi’s work in computational plasma physics and nuclear fusion modeling has been groundbreaking,” said Haesun Park, Regents’ Professor and Chair of the School of CSE. 

“We are proud of Qi and what this award means for him, Georgia Tech, and the Department of Energy toward leveraging computation to solve challenges in science and engineering, such as sustainable energy."

Previous Georgia Tech recipients of DOE Early Career Research Program awards include:

Itamar Kimchi, assistant professor, School of Physics

Sourabh Saha, assistant professor, George W. Woodruff School of Mechanical Engineering

Wenjing Lao, associate professor, School of Mathematics

Ryan Lively, Thomas C. DeLoach Professor, School of Chemical & Biomolecular Engineering

Josh Kacher, associate professor, School of Materials Science and Engineering

Devesh Ranjan, Eugene C. Gwaltney Jr. School Chair and professor, Woodruff School of Mechanical Engineering

The Department of Energy Office of Science recently released two reports through its Advanced Scientific Computing Research (ASCR) program. The reports were produced by workshops that brought together researchers from universities, national labs, government, and industry to set priorities for scientific computing.

Professor Felix Herrmann served on the organizing committee for the Workshop on Inverse Methods for Complex Systems under Uncertainty. Assistant Professor Peng Chen joined Herrmann as a workshop participant, contributing expertise in data science and machine learning.

Inverse methods work backward from outcomes to find their causes. Scientists use these tools to study complex systems, like designing new materials with targeted properties and using past wildfires to map vulnerable areas and behavior of future fires.

The ASCR report highlighted Herrmann’s work on seismic exploration and monitoring through digital twins. Founded on inverse methods, digital twins upgrade from static models to virtual systems that accurately mirror their physical counterparts. 

Digital twins integrate real-time data sources, including fluid flows, monitoring and control systems, risk assessments, and human decisions. These models also account for uncertainty and address data gaps or limitations. 

The DOE organized the workshop to support the growing role of inverse modeling. The group identified four priority research directions (PRDs) to guide future work. The PRDs are:

• PRD 1: Discovering, exploiting, and preserving structure
• PRD 2: Identifying and overcoming model limitations
• PRD 3: Integrating disparate multimodal and/or dynamic data
• PRD 4: Solving goal-oriented inverse problems for downstream tasks

“A digital twin is a system you can control, like to optimize operations or to minimize risk,” said Herrmann, who holds joint appointments in the Schools of Earth and Atmospheric Sciences, Electrical and Computer Engineering, and Computational Science and Engineering.

“Digital twins give you a principled way to consider uncertainties, which there are a lot in subsurface monitoring. If you inject carbon dioxide too fast, you will will increase the pressure and may fracture the rock. If you inject too slow, then the process may become too costly. Digital twins help us make balanced decisions under uncertainty.”

Supercomputers, algorithms, and artificial intelligence now power modern science. However, these tools consume enormous amounts of energy. This raises concerns about how to sustain computing and scientific research as we know them in the decades ahead.

Professors Rich Vuduc and Hyesoon Kim co-authored the report from the Workshop on Energy-Efficient Computing for Science. At the three-day ASCR workshop, participants identified five key research directions:

• PRD 1: Co-design energy-efficient hardware devices and architectures for important workloads
• PRD 2: Define the algorithmic foundations of energy-efficient scientific computing
• PRD 3: Reconceptualize software ecosystems for energy efficiency
• PRD 4: Enable energy-efficient data management for data centers, instruments, and users
• PRD 5: Develop integrated, scalable energy measurement and modeling capabilities for next-generation computing systems

“I’m cautiously optimistic about the future of energy-efficient computing. The ASCR report says, from a technological point of view, there are things we can do,” said Vuduc.

“The report lays out paths for how we might design better apps, hardware systems, and algorithms that will use less energy. This is recognition that we should think about how architectures and software work together to drive down energy usage for systems.”

Tang will lead the strategic vision, interdisciplinary research efforts, and internal and external partnerships at SEI, strengthening connections across Georgia Tech’s Colleges, Interdisciplinary Research Institutes (IRI), the Georgia Tech Research Institute (GTRI), and external partners to advance energy-related initiatives.

Founded in 2004, SEI is one of Georgia Tech’s IRIs and serves as a campuswide hub for energy research, education, and engagement.

Tang is the Georgia Power Professor in the School of Earth and Atmospheric Sciences. Her research and leadership focus on advancing secure, circular, and sustainable energy systems by integrating Earth, environmental, biological, materials, and sustainability sciences and innovations. She previously served as an initiative lead on critical minerals and sustainable resources at SEI as well as the associate director for interdisciplinary research at the Brook Byers Institute for Sustainable Systems.

“Professor Tang brings a strong record of research impact, leadership of complex initiatives, and a collaborative approach that will help elevate Georgia Tech’s energy research enterprise,” said Julia Kubanek, vice president for Interdisciplinary Research at Georgia Tech. “She brings deep expertise in fundamental Earth and environmental science, including water, soil, and energy research, while also leading state and regional partnerships in emerging, applied areas such as critical minerals. Most importantly, she is community-minded with excellent listening and consensus-building skills.”

As executive director, Tang will develop and communicate a unifying vision to advance interdisciplinary energy research and strategic thought leadership at Georgia Tech, integrating expertise across engineering, sciences, computing, business, design, economics, policy, and the humanities.

Tang is also the founding director of the Center for Critical Mineral Solutions and leads a multidisciplinary coalition spanning three University System of Georgia institutions. The coalition connects research, industry, and policy to build Georgia’s critical minerals innovation ecosystem, while driving resource advancement, workforce development, and economic impact.

“I'm honored to serve as the executive director of SEI. Georgia Tech’s energy research and the people behind it have always inspired me. I’m eager to listen, learn, and work alongside our community,” said Tang. “SEI connects research excellence with real-world impact, and I look forward to partnering across campus, industry, government, and communities to translate breakthrough ideas into solutions that strengthen energy security, reliability, and affordability.”

About the Strategic Energy Institute

The Strategic Energy Institute (SEI) serves as a system integrator for more than 1,000 Georgia Tech researchers working across the entire energy value chain. SEI brings together expertise to address complex energy challenges, from commercializing scalable technologies to informing long-term energy strategy and policy. Through research, education, community building, resource development, and thought leadership, SEI mobilizes Georgia Tech’s collective strengths to advance reliable, affordable, and lower-carbon energy solutions for a growing global demand.

As artificial intelligence (AI) drives explosive growth in data centers, communities across the U.S. are facing rising electricity costs, new industrial development, and mounting strain on an aging power grid.

At Georgia Tech, several faculty members are approaching these sustainability challenges from different but complementary angles: examining how data center policy affects local communities, modeling how AI-driven demand reshapes regional energy systems, and building tools that help the public understand the tradeoffs embedded in grid planning. Together, their work highlights how better data, thoughtful policy, and public engagement can guide more resilient and equitable decisions in an AI-powered future.

AI’s Hidden Footprint: How Data Centers Reshape Communities

Ahmed Saeed studies the infrastructure most people never see. An assistant professor in the School of Computer Science and a Brook Byers Institute for Sustainable Systems (BBISS) Faculty Fellow, Saeed focuses on how data centers — the backbone of modern AI — are built, operated, and regulated, and what their growth means for host communities.

“Data centers are the infrastructure for our digital life, so more of them are necessary to keep doing what we’re doing,” he said.

Data center energy consumption could double or triple by 2028, accounting for up to 12% of U.S. electricity use, according to a report by Lawrence Berkeley National Laboratory. U.S. spending on data center construction jumped nearly 70% between May 2023 and May 2024, according to the American Edge Project.

Georgia is an AI data center hub, ranked fourth globally, with $4.6 billion in AI-related venture capital invested across 368 deals, the American Edge Project reported. At a recent town hall in DeKalb County, Georgia, Saeed helped residents connect AI’s promise to its local consequences. Training large AI models can require tens of thousands of graphics processing units (GPUs) running for days or weeks, driving an unprecedented wave of data center construction. AI-focused chips, he noted, can consume 10 to 14 times more power than traditional processors.

That demand often shows up as pressure on local infrastructure. Communities are increasingly concerned about electricity and water use, grid upgrades, and who ultimately pays. In Virginia, Saeed pointed to a legal dispute in which consumer advocates warned that data centers could raise electricity bills by 5% in the short term and up to 50% over time, while utilities argued those investments were inevitable and could benefit customers in the long run.

Environmental concerns add another layer. Saeed cited controversies over water use and backup diesel generators in states, including Georgia and Tennessee, alongside a recent Environmental Protection Agency (EPA) ruling that tightened generator regulations. While diesel generators are clearly harmful, he cautioned that long-term, rigorous evidence linking data centers to regional health impacts remains limited.

Saeed’s research aims to reduce those impacts directly. By optimizing how workloads are scheduled across large server fleets, his team has demonstrated power savings of 4 – 12%, a meaningful gain if U.S. data centers approach projected levels of up to 12% of national electricity use by 2028.

For Saeed, data centers are akin to highways: essential to modern life, disruptive to nearby communities, and shaped by policy choices. The question, he argues, is not whether AI infrastructure should exist, but how transparently and fairly it is built.

Economist Probes the Energy Costs of the AI Boom

While headlines often frame AI as an energy crisis, Georgia Tech environmental and energy economist and BBISS Faculty Fellow Tony Harding is focused on measuring its real — and uneven — impacts. Harding, an assistant professor in the Jimmy and Rosalynn Carter School of Public Policy, uses economic modeling to examine how AI adoption affects energy use, emissions, and local communities.

In recent work published in Environmental Research Letters, Harding and his co-author analyzed how productivity gains from AI could influence national energy demand. Their findings suggest that, at a macro level, AI-related activity may increase annual U.S. energy use by about 0.03% and CO₂ emissions by roughly 0.02%.

“Those numbers are small in the context of the overall economy,” Harding said. “But the impacts are highly uneven.”

That unevenness is evident in where data centers are built. While Northern Virginia remains the country’s top data center hub, with 343 operational data centers, states like Georgia, which currently has 94 operational data centers, are rapidly attracting facilities due to reliable power and favorable tax policies. 

Harding’s latest research focuses on local effects, asking why data centers cluster in urban areas, how they influence housing markets, what happens to electricity prices, and whether they exacerbate water stress. Early evidence suggests large facilities can increase local electricity rates, contributing to public backlash and regulatory response. In Georgia, the Public Service Commission has begun requiring new, high power draw customers (like data centers) to cover more of the costs associated with grid expansion.

Harding’s goal is to give policymakers better evidence to design incentives and guardrails. “To manage these technologies responsibly,” he said, “we need a clear picture of their intended and unintended consequences.”

Gamifying a Strained and Aging Power Grid

Daniel Molzahn is tackling another side of the problem: how to modernize an aging power grid under growing demand. Electricity demand is expected to rise about 25% by 2030, driven by data centers, electric vehicles, and broadscale electrification. At the same time, much of the U.S. electricity grid is nearing the end of its lifespan, with many transformers being decades old.

To make these challenges tangible, Molzahn, an associate professor in the School of Electrical and Computer Engineering, developed a browser-based game with a group of students through Georgia Tech’s Vertically Integrated Projects program called Current Crisis. Players take on the role of a utility decision-maker, balancing reliability, wildfire risk, renewable integration, and affordability.

The game grew out of Molzahn’s National Science Foundation CAREER award and reflects his belief that complex systems are best understood experientially. Its initial focus is wildfire resilience, modeling how grid infrastructure can both spark and suffer damage from fires.

But resilience comes at a cost. Burying power lines, for example, reduces wildfire risk but dramatically increases expenses. Players must confront the same tradeoffs utilities face: improve reliability or keep rates low.

Molzahn hopes the game will help students and the public grapple with the realities of planning future power systems. “These choices aren’t abstract,” he said. “They shape affordability, resilience, and our path toward a cleaner grid.”

The project now involves nearly 40 students from across campus, supported by Sustainability NEXT funding and a collaboration with Jessica Roberts, former BBISS Faculty Fellow and director of the Technology-Integrated Learning Environments (TILES) Lab in the School of Interactive Computing.

“As a learning scientist, I look at how to engage people with science and scientific data and get people having conversations they might not otherwise have,” says Roberts, who hopes the seed grant helps the team determine first that they are going in the right direction and, second, how to broaden the impact.

One student, Stella Quinto Lima, a graduate research assistant in Human-Centered Computing, has made the game the focus of her doctoral thesis. Through the game, she wants players to notice their misconceptions about the power grid, energy use, and AI, and to use critical thinking to identify, question, and possibly undo those misconceptions.

 “I hope that we can really engage adults and help them see it’s not black and white. The game is not only about power grids, but how AI affects the grid, how it affects our lives, and how it will impact our future.”

The team plans to expand the game’s features, use it in outreach programs, and analyze player decisions as a source of data to study energy-system decision-making.

“We want to change the conversation about power and power grid stability, reliability, and sustainability, Roberts said, “and find a way to get this message to a larger public.”

Georgia Tech researchers say HPC and artificial intelligence (AI) advances this year are poised to improve how people power their homes, design safer buildings, and travel through cities.

According to Qi Tang, scientists will take progressive steps toward cleaner, sustainable energy through nuclear fusion in 2026. 

“I am very hopeful about the role of advanced computing and AI in making fusion a clean energy source,” said Tang, an assistant professor in the School of Computational Science and Engineering (CSE). 

“Fusion systems involve many interconnected processes happening across different scales. Modern simulations, combined with data-driven methods, allow us to bring these pieces together into a unified picture.”

Tang’s research connects HPC and machine learning with fusion energy and plasma physics. This year, Tang is continuing work on large-scale nuclear fusion models.

Only a few experimental fusion reactors exist worldwide compared to more than 400 nuclear fission reactors. Tang’s work supports a broader effort to turn fusion from a promising idea into a practical energy source.

Nuclear fusion occurs in plasma, the fourth state of matter, where gas is heated to millions of degrees. In this extreme state, electrons are stripped from atoms, creating a hot soup of fast-moving ions and free electrons. In plasma, hydrogen atoms overcome their natural electrical repulsion, collide, and fuse together. This releases energy that can power cities and homes.

Computers interpret extreme temperatures, densities, pressures, and plasma particle motion as massive datasets. Tang works to assimilate these data types from computer models and real-world experiments.

To do this, he and other researchers rely on machine learning approaches to analyze data across models and experiments more quickly and to produce more accurate predictions. Over time, this will allow scientists to test and improve fusion reactor designs toward commercial use. 

Beyond energy and nuclear engineering, Umar Khayaz sees broader impacts for HPC in 2026.

“HPC is the need of the day in every field of engineering sciences, physics, biology, and economics,” said Khayaz, a CSE Ph.D. student in the School of Civil and Environmental Engineering. 

“HPC is important enough to say that we need to employ resources to also solve social problems.”

Khayaz studies dynamic fracture and phase-field modeling. These areas explore how materials break under sudden, rapid loads. 

Like nuclear fusion, Khayaz says dynamic fracture problems are complex and data-intensive. In 2026, he expects to see more computing resources and computational capabilities devoted to understanding these problems and other emerging civil engineering challenges.

CSE Ph.D. student Yiqiao (Ahren) Jin sees a similar relationship between infrastructure and self-driving vehicles. He believes AI will innovate this area in 2026.

At Georgia Tech, Jin develops efficient multimodal AI systems. An autonomous vehicle is a multimodal system that uses camera video, laser sensors, language instructions, and other inputs to navigate city streets under changing scenarios like traffic and weather patterns.

Jin says multimodal research will move beyond performance benchmarks this year. This shift will lead to computer systems that can reason despite uncertainty and explain their decisions. In result, engineers will redefine how they evaluate and deploy autonomous systems in safety-critical settings.

“Many foundational problems in perception, multimodal reasoning, and agent coordination are being actively addressed in 2026. These advances enable a transition from isolated autonomous systems to safer, coordinated autonomous vehicle fleets,” Jin said. 

“As these systems scale, they have the potential to fundamentally improve transportation safety and efficiency.”

The prize recognizes outstanding student research produced within the School and highlights the value of EPIcenter’s sustained research support and professional development for graduate students.

Ramadhani’s award-winning paper, titled “Battery Storage and Natural Gas Generator Market Power,” was developed during his participation in EPIcenter’s Summer Research Program for graduate and doctoral students pursuing energy policy research at Georgia Tech. Through the program, he received research mentoring and communications coaching that strengthened his work.

“This award reflects what can happen when students have the time, mentorship, and support to fully develop their ideas,” said Laura Taylor, director of EPIcenter. “Our Summer Research Program is designed to help graduate students advance rigorous energy policy research while also building the skills needed to communicate that work effectively.”

Supporting Graduate Research in Energy Policy

The program supports graduate students whose work contributes to energy policy and innovation. Student affiliates receive funding, mentorship, and access to EPIcenter’s research and communications resources, helping them build their academic profiles and translate complex research for broader audiences. 

In addition, they gain valuable opportunities to present their work, participate in EPIcenter programs and events, share their research through EPIcenter’s communications platforms, and build their skills through tailored collaboration and training with EPIcenter staff.

During the summer, Ramadhani worked closely with EPIcenter staff and mentors. The program’s stipend allowed him to spend those months fully focused on his research, rather than taking on teaching or other responsibilities.

"Participating in the program really made my summer productive. I got a lot of good feedback on how to shape the idea into a paper," he said.

Advancing Emerging Scholars

Ramadhani’s recognition reflects EPIcenter’s broader commitment to supporting graduate students whose research addresses critical energy and policy challenges. By pairing research support with mentorship and communications training, the center helps students develop work that earns recognition well beyond the program itself.

The interactive dashboard compiles and visualizes data gathered by Matisoff, along with Program and Operations Manager Michael Morley, offering a comprehensive view of SAF production, feedstock availability, and policy trends.

EPIcenter Research Associate Yang You has designed the dashboard to translate complex datasets into policy-relevant insights for decision-makers. By organizing key metrics into interactive visuals, the dashboard helps stakeholders assess market readiness and identify regulatory actions that could accelerate SAF adoption.

Emphasizing the importance of data-driven insights, Matisoff said, “The Department of Energy has a Grand Challenge to produce 3 billion gallons a year of Sustainable Aviation Fuel by 2030, and 35 billion gallons a year by 2050. By compiling and visualizing SAF data, we can help policymakers and researchers understand progress towards these goals, where the key opportunities and bottlenecks are – and how to move forward effectively”. 

Why SAF Matters
While aviation only accounts for about 3% of global greenhouse gas emissions, it is a rapidly growing share, and decarbonizing this sector is considered one of the most challenging aspects of the energy transition. Produced from renewable feedstocks, sustainable aviation fuel offers a pathway to reduce lifecycle emissions from air travel without requiring major changes to aircraft or infrastructure. However, SAF production and deployment face hurdles related to cost, supply chain development, and policy support.

EPIcenter’s Director Laura Taylor highlighted the dashboard’s role in addressing these challenges:
“Sustainable aviation fuel is a cornerstone of decarbonizing air travel, but the market is complex and rapidly evolving. The dashboard provides clarity by organizing the relevant data in a way that’s accessible and actionable for decision-makers.”

“This tool is meant to bridge analysis and action,” said You. “By visualizing SAF production, capacity, and offtake dynamics, the dashboard allows policymakers and stakeholders to see where the market is moving, where gaps remain, and how targeted infrastructure investments or supportive policies could unlock scale.”

The EPIcenter SAF Dashboard is intended as a resource for industry leaders, policymakers, and researchers working to accelerate SAF adoption. By providing transparent, data-driven insights, Georgia Tech aims to support informed decisions that advance innovation and sustainability in aviation.

To explore the dashboard and learn more about Georgia Tech’s work on sustainable aviation fuel, visit EPIcenter’s SAF page. 

“While we often talk about food and housing insecurity, fewer people recognize energy as a basic necessity that shapes not only comfort, but also safety and stress,” said Assistant Professor Michelle Graff, who co-authored the paper published in JAMA Network Open.

Analyzing data from the U.S. Census Bureau’s Household Pulse Survey, the researchers found that 43% of households experienced energy insecurity in the past year. Among respondents who reduced spending on necessities to cover energy bills, nearly 39% reported symptoms of anxiety and 32% reported symptoms of depression — more than twice the incidence among respondents who didn’t need to make that tradeoff.

“Being able to afford your home does not guarantee you can afford to safely heat, cool, or power it,” Graff said.

Such instability disproportionately affects Black and Hispanic households, renters, and families dependent on electronic medical devices, Graff said.

And while the study was not designed to explain whether energy insecurity causes mental health issues or some other dynamic is at work, Graff said it’s incontrovertible that these groups face compounding stressors. Living in inefficient housing can lead to higher bills and unsafe temperatures, disrupting sleep and health. When combined with the financial anxiety of potential utility shutoffs and the need to sacrifice food or medicine to pay bills, these trade-offs create a cycle of chronic stress, she said.

Among other recommendations, Graff said healthcare providers should start screening for energy insecurity just as they do for food insecurity.

“We view this primarily as a data-collection initiative designed to generate the evidence needed to inform future policy recommendations and program improvements,” Graff said.

Graff is continuing to explore these issues with Carter School graduate students, including recent work on state-level aid implementation with Ph.D. student Ryan Anthony and upcoming research with other students on how energy insecurity impacts eviction rates.

The article, “Energy Insecurity and Mental Health Symptoms in US Adults,” was published Oct. 27, 2025, in JAMA Network Open. It is available at https://doi:10.1001/jamanetworkopen.2025.39479.

Georgia Tech’s Executive Vice President for Research search committee has selected three finalists. Each candidate will visit campus and present a seminar sharing their broad vision for the Institute's research enterprise. The seminars are open to all faculty, students, and staff across the campus community. Interested individuals can attend in person or register to participate via Zoom (pre-registration is required).    

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The oceans are heating up as the planet warms.

This past year, 2024, was the warmest ever measured for the global ocean, following a record-breaking 2023. In fact, every decade since 1984, when satellite recordkeeping of ocean temperatures started, has been warmer than the previous one.

A warmer ocean means increased evaporation, which in turn results in heavier rains in some areas and droughts in others. It can power hurricanes and downpours. It can also harm the health of coastal marine areas and sea life – coral reefs suffered their most extensive bleaching event on record in 2024, with damage in many parts of the world.

Warming ocean water also affects temperatures on land by changing weather patterns. The EU’s Copernicus Climate Change Service announced on Jan. 10 that data showed 2024 had also broken the record for the warmest year globally, with global temperatures about 2.9 degrees Fahrenheit (1.6 Celsius) above pre-industrial times. That would mark the first full calendar year with average warming above 1.5 C, a level countries had agreed to try to avoid passing long-term.

Climate change, by and large, takes the blame. Greenhouse gases released into the atmosphere trap heat, and about 90% of the excess heat caused by emissions from burning fossil fuels and other human activities is absorbed by the ocean.

But while it’s clear that the ocean has been warming for quite some time, its temperatures over the past two years have been far above the previous decades. That leaves two mysteries for scientists.

It’s Not Just El Niño

The cyclic climate pattern of the El Niño Southern Oscillation can explain part of the warmth over the past two years.

During El Niño periods, warm waters that usually accumulate in the western equatorial Pacific Ocean move eastward toward the coastlines of Peru and Chile, leaving the Earth slightly warmer overall. The latest El Niño began in 2023 and caused global average temperatures to rise well into early 2024.

But the oceans have been even warmer than scientists expected. For example, global temperatures in 2023-2024 followed a similar growth and decline pattern across the seasons as the previous El Niño event, in 2015-2016, but they were about 0.36 degrees Fahrenheit (0.2 Celsius) higher at all times in 2023-2024.

Scientists are puzzled and left with two problems to solve. They must figure out whether something else contributed to the unexpected warming and whether the past two years have been a sign of a sudden acceleration in global warming.

The Role of Aerosols

An intriguing idea, tested using climate models, is that a swift reduction in aerosols over the past decade may be one of the culprits.

Aerosols are solid and liquid particles emitted by human and natural sources into the atmosphere. Some of them have been shown to partially counteract the impact of greenhouse gases by reflecting solar radiation back into space. However, they also are responsible for poor air quality and air pollution.

Many of these particles with cooling properties are generated in the process of burning fossil fuels. For example, sulfur aerosols are emitted by ship engines and power plants. In 2020, the shipping industry implemented a nearly 80% cut in sulfur emissions, and many companies shifted to low-sulfur fuels. But the larger impact has come from power plants reducing their emissions, including a big shift in this direction in China. So, while technologies have cut these harmful emissions, that means a brake slowing the pace of warming is weakened.

Is This a Warming Surge?

The second puzzle is whether the planet is seeing a warming surge or not.

Temperatures are clearly rising, but the past two years have not been warm enough to support the notion that we may be seeing an acceleration in the rate of global warming.

Analysis of four temperature datasets covering the 1850-2023 period has shown that the rate of warming has not shown a significant change since around the 1970s. The same authors, however, noted that only a rate increase of at least 55% – about half a degree Celsius and nearly a full degree Fahrenheit over one year – would make the warming acceleration detectable in a statistical sense.

From a statistical standpoint, then, scientists cannot exclude the possibility that the 2023-2024 record ocean warming resulted simply from the “usual” warming trend that humans have set the planet on for the past 50 years. A very strong El Niño contributed some natural variability.

From a practical standpoint, however, the extraordinary impacts the planet has witnessed – including extreme weather, heat waves, wildfires, coral bleaching and ecosystem destruction – point to a need to swiftly reduce carbon dioxide emissions to limit ocean warming, regardless of whether this is a continuation of an ongoing trend or an acceleration.

This article has been updated with Copernicus Climate Change Service’s global 2024 temperature data.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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 “What is happening within the field is revolutionary,” says School of Earth and Atmospheric Sciences Associate Chair and Professor Annalisa Bracco, adding that because many climate-related processes — from ocean currents to melting glaciers and weather patterns — can be described with physical equations, these advancements have the potential to help us understand and predict climate in critically important ways. 

Bracco is the lead author of a new review paper providing a comprehensive look at the intersection of AI and climate physics.

The result of an international collaboration between Georgia Tech’s Bracco, Julien Brajard (Nansen Environmental and Remote Sensing Center), Henk A. Dijkstra (Utrecht University), Pedram Hassanzadeh (University of Chicago), Christian Lessig (European Centre for Medium-Range Weather Forecasts), and Claire Monteleoni (University of Colorado Boulder), the paper, ‘Machine learning for the physics of climate,’ was recently published in Nature Reviews Physics. 

“One of our team’s goals was to help people think deeply on how climate science and AI intersect,” Bracco shares. “Machine learning is allowing us to study the physics of climate in a way that was previously impossible. Coupled with increasing amounts of data and observations, we can now investigate climate at scales and resolutions we’ve never been able to before.”

Connecting hidden dots

The team showed that ML is driving change in three key areas: accounting for missing observational data, creating more robust climate models, and enhancing predictions, especially in weather forecasting. However, the research also underscores the limits of AI — and how researchers can work to fill those gaps.

“Machine learning has been fantastic in allowing us to expand the time and the spatial scales for which we have measurements,” says Bracco, explaining that ML could help fill in missing data points — creating a more robust record for researchers to reference. However, like patching a hole in a shirt, this works best when the rest of the material is intact.

“Machine learning can extrapolate from past conditions when observations are abundant, but it can’t yet predict future trends or collect the data we need,” Bracco adds. “To keep advancing, we need scientists who can determine what data we need, collect that data, and solve problems.”

Modeling climate, predicting weather

Machine learning is often used when improving climate models that can simulate changing systems like our atmosphere, oceans, land, biochemistry, and ice. “These models are limited because of our computing power, and are run on a three-dimensional grid,” Bracco explains: below the grid resolution, researchers need to approximate complex physics with simpler equations that computers can solve quickly, a process called ‘parameterization’.

Machine learning is changing that, offering new ways to improve parameterizations, she says. “We can run a model at extremely high resolutions for a short time, so that we don’t need to parameterize as many physical processes — using machine learning to derive the equations that best approximate what is happening at small scales,” she explains. “Then we can use those equations in a coarser model that we can run for hundreds of years.”

While a full climate model based solely on machine learning may remain out of reach, the team found that ML is advancing our ability to accurately predict weather systems and some climate phenomena like El Niño. 

Previously, weather prediction was based on knowing the starting conditions — like temperature, humidity, and barometric pressure — and running a model based on physics equations to predict what might happen next. Now, machine learning is giving researchers the opportunity to learn from the past. “We can use information on what has happened when there were similar starting conditions in previous situations to predict the future without solving the underlying governing equations,” Bracco says. “And all while using orders-of-magnitude less computing resources.”

The human connection

Bracco emphasizes that while AI and ML play a critical role in accelerating research, humans are at the core of progress. “I think the in-person collaboration that led to this paper is, in itself, a testament to the importance of human interaction,” she says, recalling that the research was the result of a workshop organized at the Kavli Institute for Theoretical Physics — one of the team’s first in-person discussions after the Covid-19 pandemic.

“Machine learning is a fantastic tool — but it's not the solution to everything,” she adds. “There is also a real need for human researchers collecting high-quality data, and for interdisciplinary collaboration across fields. I see this as a big challenge, but a great opportunity for computer scientists and physicists, mathematicians, biologists, and chemists to work together.”

Funding: National Science Foundation, European Research Council, Office of Naval Research, US Department of Energy, European Space Agency, Choose France Chair in AI.

DOI: https://doi.org/10.1038/s42254-024-00776-3

The award will support a broad spectrum of multidisciplinary research activities by the multinational teams and intermediate to long-term (three months to one year) collaborative visits to global research sites in Japan, Europe, and the U.S. A total of 46 proposals were submitted to ASPIRE for Top Scientists, out of which 14 were selected by expert evaluation. Each project is an international collaboration and the initiative's key focus is advancing science and technology on an international level.

Fedorov will lead a project titled "Construction of International Data and Analysis Platform for Inorganic Power-storage Materials Informatics with Nano/Micro-Structure" that will explore the intersection of Artificial Intelligence (AI) and Informatics, and Energy. He will represent Georgia Tech as a principal investigator. The planned research will also involve faculty members and graduate students from College of Engineering schools involved in the Strategic Energy Institute.

Read the full story on the George W. Woodruff School of Mechanical Engineering website.

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It is with immense gratitude and admiration that we announce the retirement of Robert Butera, who has served Georgia Tech with the highest dedication and excellence. As the chief research operations officer (CROO), Butera has facilitated the Institute’s research activities, overseeing research integrity assurance, research administration, research operations/infrastructure, and research development. His leadership and vision have left an indelible mark on Georgia Tech's research enterprise.

Butera’s journey at Georgia Tech began long before his role as CROO. He received his undergraduate degree in electrical engineering from Georgia Tech in 1991. He joined the Institute’s faculty in 1999, after earning his Ph.D. from Rice University and spending several years as a postdoctoral researcher at the National Institutes of Health. Over the years, Butera has held numerous pivotal roles, including vice president for research development and operations, associate dean for research in the College of Engineering, and director of the Neural Engineering Center. Prior to joining Georgia Tech’s research leadership, Butera directed the interdisciplinary bioengineering graduate program, then co-founded the Grand Challenges Living Learning Community.

As a professor, Butera graduated 15 Ph.D. students and mentored over 100 undergraduates, for which he received Georgia Tech’s Senior Faculty Outstanding Undergraduate Research Mentor Award in 2016. He also mentored several postdocs and master’s students.

Butera’s accolades are numerous, including the prestigious Georgia Tech ANAK award and election as a Fellow to both the American Association for the Advancement of Science and the American Institute of Medical and Biological Engineering. He held significant leadership roles within the IEEE Engineering in Medicine and Biology Society. These honors reflect his impact on the field of biomedical engineering and his dedication to advancing scientific knowledge.

Beyond his professional achievements, Butera’s personal passions have also enriched the larger Georgia Tech community. His love for whitewater kayaking, which he discovered through Outdoor Recreation Georgia Tech (ORGT), led to a decade of volunteering as an instructor and trip leader. This commitment to adventure and leadership development has inspired many students and colleagues alike.

"Rob's unwavering commitment to excellence and his visionary leadership have been instrumental in advancing Georgia Tech's research mission. His contributions have not only elevated our institution but have also profoundly impacted the broader scientific community. We are deeply grateful for his service and wish him all the best in his well-deserved retirement,” said Tim Lieuwen, executive vice president for Research.

Andrés J. García, executive director of the Parker H. Petit Institute for Bioengineering and Bioscience, shared these heartfelt words: "Rob, the ultimate Yellow Jacket, has been a tireless champion to improve research, educational, and operational processes at Georgia Tech. He has had tremendous positive impact in Georgia Tech, the state, and the nation. We will miss his deep knowledge and expertise, exceptional problem solving, practical perspective, and genuine care for faculty, staff, and students, and we wish him continued success in his next chapter."

Lena Ting, McCamish Foundation Distinguished Chair in Biomedical Engineering in the Walter H. Coulter Department of Biomedical Engineering, said, “Rob’s heart has a huge ‘GT’ stamped on it: He has always been engaged in all aspects of Georgia Tech life. I’m always amazed to hear about his undergrad teaching and mentoring, kayaking with ORGT, and advising his fraternity. At the same time, he worked tirelessly to enhance interdisciplinary research and solve challenges affecting faculty research, all while conducting his own innovative research. Rob is a GT nexus, always in the know about what is going on around campus and – more importantly – how and why it got to be that way. He is a great friend and colleague who is always available for a beer, and I’ll miss him dearly.”

As we bid farewell to Rob, we also extend a warm welcome to Bill Dracos, who will serve as the interim chief research operations officer, effective immediately. Bill brings a wealth of experience from his role as Deputy Chief Operating Officer at the Georgia Tech Research Institute and his previous leadership positions at George Mason University, Emory University, and PricewaterhouseCoopers. We are confident Bill will continue to build on Rob's legacy of excellence and innovation.

Thank you, Rob, for your years of service, your unwavering commitment to Georgia Tech, and your inspiring leadership. We wish you all the best in your retirement and look forward to seeing the new adventures you will undoubtedly embark upon.

Georgia Tech is conducting a national search for the next Chief Research Operations Officer. Learn more about the open position. 

Students and faculty from the School of Computational Science and Engineering (CSE) are leading the Georgia Tech contingent at the SIAM Conference on Computational Science and Engineering (CSE25). The Society of Industrial and Applied Mathematics (SIAM) organizes CSE25, occurring March 3-7 in Fort Worth, Texas.

At CSE25, the School of CSE researchers are presenting papers that apply computing approaches to varying fields, including:                   

• Experiment designs to accelerate the discovery of material properties
• Machine learning approaches to model and predict weather forecasting and coastal flooding
• Virtual models that replicate subsurface geological formations used to store captured carbon dioxide
• Optimizing systems for imaging and optical chemistry
• Plasma physics during nuclear fusion reactions

[Related: GT CSE at SIAM CSE25 Interactive Graphic] 

“In CSE, researchers from different disciplines work together to develop new computational methods that we could not have developed alone,” said School of CSE Professor Edmond Chow. 

“These methods enable new science and engineering to be performed using computation.” 

CSE is a discipline dedicated to advancing computational techniques to study and analyze scientific and engineering systems. CSE complements theory and experimentation as modes of scientific discovery. 

Held every other year, CSE25 is the primary conference for the SIAM Activity Group on Computational Science and Engineering (SIAG CSE). School of CSE faculty serve in key roles in leading the group and preparing for the conference.

In December, SIAG CSE members elected Chow to a two-year term as the group’s vice chair. This election comes after Chow completed a term as the SIAG CSE program director. 

School of CSE Associate Professor Elizabeth Cherry has co-chaired the CSE25 organizing committee since the last conference in 2023. Later that year, SIAM members reelected Cherry to a second, three-year term as a council member at large. 

At Georgia Tech, Chow serves as the associate chair of the School of CSE. Cherry, who recently became the associate dean for graduate education of the College of Computing, continues as the director of CSE programs. 

“With our strong emphasis on developing and applying computational tools and techniques to solve real-world problems, researchers in the School of CSE are well positioned to serve as leaders in computational science and engineering both within Georgia Tech and in the broader professional community,” Cherry said. 

Georgia Tech’s School of CSE was first organized as a division in 2005, becoming one of the world’s first academic departments devoted to the discipline. The division reorganized as a school in 2010 after establishing the flagship CSE Ph.D. and M.S. programs, hiring nine faculty members, and attaining substantial research funding.

Ten School of CSE faculty members are presenting research at CSE25, representing one-third of the School’s faculty body. Of the 23 accepted papers written by Georgia Tech researchers, 15 originate from School of CSE authors.

The list of School of CSE researchers, paper titles, and abstracts includes:
Bayesian Optimal Design Accelerates Discovery of Material Properties from Bubble Dynamics
Postdoctoral Fellow Tianyi Chu, Joseph Beckett, Bachir Abeid, and Jonathan Estrada (University of Michigan), Assistant Professor Spencer Bryngelson
[Abstract]

Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
Ph.D. student Phillip Si, Assistant Professor Peng Chen
[Abstract]

A Goal-Oriented Quadratic Latent Dynamic Network Surrogate Model for Parameterized Systems
Yuhang Li, Stefan Henneking, Omar Ghattas (University of Texas at Austin), Assistant Professor Peng Chen
[Abstract]

Posterior Covariance Structures in Gaussian Processes
Yuanzhe Xi (Emory University), Difeng Cai (Southern Methodist University), Professor Edmond Chow
[Abstract]

Robust Digital Twin for Geological Carbon Storage
Professor Felix Herrmann, Ph.D. student Abhinav Gahlot, alumnus Rafael Orozco (Ph.D. CSE-CSE 2024), alumnus Ziyi (Francis) Yin (Ph.D. CSE-CSE 2024), and Ph.D. candidate Grant Bruer
[Abstract]

Industry-Scale Uncertainty-Aware Full Waveform Inference with Generative Models
Rafael Orozco, Ph.D. student Tuna Erdinc, alumnus Mathias Louboutin (Ph.D. CS-CSE 2020), and Professor Felix Herrmann
[Abstract]

Optimizing Coupled Systems: Insights from Co-Design Imaging and Optical Chemistry
Assistant Professor Raphaël Pestourie, Wenchao Ma and Steven Johnson (MIT), Lu Lu (Yale University), Zin Lin (Virginia Tech)
[Abstract]

Multifidelity Linear Regression for Scientific Machine Learning from Scarce Data
Assistant Professor Elizabeth Qian, Ph.D. student Dayoung Kang, Vignesh Sella, Anirban Chaudhuri and Anirban Chaudhuri (University of Texas at Austin)
[Abstract]

LyapInf: Data-Driven Estimation of Stability Guarantees for Nonlinear Dynamical Systems
Ph.D. candidate Tomoki Koike and Assistant Professor Elizabeth Qian
[Abstract]

The Information Geometric Regularization of the Euler Equation
Alumnus Ruijia Cao (B.S. CS 2024), Assistant Professor Florian Schäfer
[Abstract]

Maximum Likelihood Discretization of the Transport Equation
Ph.D. student Brook Eyob, Assistant Professor Florian Schäfer
[Abstract]

Intelligent Attractors for Singularly Perturbed Dynamical Systems
Daniel A. Serino (Los Alamos National Laboratory), Allen Alvarez Loya (University of Colorado Boulder), Joshua W. Burby, Ioannis G. Kevrekidis (Johns Hopkins University), Assistant Professor Qi Tang (Session Co-Organizer)
[Abstract]

Accurate Discretizations and Efficient AMG Solvers for Extremely Anisotropic Diffusion Via Hyperbolic Operators
Golo Wimmer, Ben Southworth, Xianzhu Tang (LANL), Assistant Professor Qi Tang 
[Abstract]

Randomized Linear Algebra for Problems in Graph Analytics
Professor Rich Vuduc
[Abstract]

Improving Spgemm Performance Through Reordering and Cluster-Wise Computation
Assistant Professor Helen Xu
[Abstract]

Paradigm Shift in Construction

Now, researchers at Georgia Tech have developed a novel class of modular, reconfigurable, and sustainable building blocks — a new construction paradigm as well-suited for terrestrial homes as it is for extraterrestrial habitats. Their study, published in Matter, demonstrates that these innovative units, dubbed eco-voxels, can reduce carbon footprints by up to 40% compared to traditional construction materials. These units also maintain the structural performance needed for applications ranging from load-bearing walls to aircraft wings.

“We created sustainable structures using these eco-friendly building blocks, combining our knowledge of structural mechanics and mechanical design with industry-relevant manufacturing practices and environmental assessments,” said Christos Athanasiou, assistant professor at the Daniel Guggenheim School of Aerospace Engineering.

Housing Affordability Solutions

Their work offers a potential solution to the growing housing affordability crisis. As climate-driven disasters such as hurricanes, wildfires, and floods increase, homes are damaged at higher rates, and insurance costs are skyrocketing. This crisis is fueled by rising land prices and restrictive development regulations. Meanwhile, the growing demand for housing places an increasing strain on global resources and the environment. The modularity and circularity of the developed approach can effectively address these issues. 

The New Building Blocks

Eco-voxels — short for eco-friendly voxels, the 3D equivalent of pixels — are made from polytrimethylene terephthalate (PTT). PTT is a partially bio-based polymer derived from corn sugar and reinforced with recycled carbon fibers from aerospace waste (scrap material lost during the manufacturing of aerospace components). Eco-voxels can be easily assembled into large, load-bearing structures and then disassembled and reconfigured, all without generating waste. Consequently, they offer a highly adaptable, sustainable approach to construction.

The team tested eco-voxels and found they can handle the pressure that buildings usually face. They also used computer simulations to show that changing the shape of eco-voxels makes them suitable for many different building needs.

The researchers compared the eco-voxel approach to other emerging construction methods like 3D-printed concrete and cross-laminated timber (CLT), finding that eco-voxels offer significant environmental advantages. While traditional and alternative materials are often heavy and carbon-intensive, the eco-voxel wall had the lowest carbon footprint: 30% lower than concrete and 20% lower than CLT.

These results highlight eco-voxels as a promising low-carbon, high-performance solution for sustainable and affordable construction, opening new possibilities for faster, more sustainable building solutions. In addition to residential uses, emergency shelters built with eco-voxels could be used for disaster-relief scenarios, where quick assembly, modularity, and minimal environmental impact are crucial.

The Army Research Office awarded Georgia Tech and its partners $20 million to develop scalable, efficient methods for transforming aluminum into hydrogen energy. The project could lead to a new, low-cost, clean, and efficient energy source powered by discarded materials. 

Aaron Stebner, professor and Eugene C. Gwaltney Jr. Chair in Manufacturing in the George W. Woodruff School of Mechanical Engineering and professor in the School of Materials Science and Engineering, will oversee the multi-year effort at Georgia Tech together with Scott McWhorter, lead for Federal Initiatives at the Strategic Energy Institute.

In addition to several team members from Georgia Tech and the Georgia Tech Research Institute, the project includes researchers from Fort Valley State University, the 21st Century Partnership, MatSys, and Drexel University. 

“Aluminum already reacts with water — even wastewater and floodwater — to create hydrogen gas, power, and thermal energy,” McWhorter said. “If aluminum can be efficiently upcycled into stored energy, it could be a game-changer.” 

The team’s goal is to experiment with aluminum’s material properties so it can be inexpensively manufactured to create a highly effective reaction that produces low-cost, clean hydrogen.

“Having this ability would allow military bases to be less dependent on the use of a foreign country’s electrical grids,” said Stebner, who is also co-director of Georgia Artificial Intelligence in Manufacturing and faculty at the Georgia Tech Manufacturing Institute. 

Manufacturing Aluminum

Several years ago, the Army Research Lab discovered and patented the basic technology for recycling aluminum to produce hydrogen gas. However, current manufacturing methods require too much energy for the amount of hydrogen energy produced.  

To make the technology viable and effective, Stebner and his colleagues will research alternate manufacturing processes and then develop automated methods for safely producing and storing stable aluminum. They also plan to optimize these processes using digital twin technologies.

Currently, manufacturers use large machines to grind up and tumble the aluminum in very controlled environments, because stray aluminum powder can be explosive. These methods are very costly. 

Stebner and the team are looking into small, modular technologies that could allow for convenient, onsite energy generation. According to Stebner, they are interested in determining how these smaller machines could be so efficient that they could be powered using solar panels. 

Stebner envisions that a field of solar panels could power the aluminum-processing modules — the aluminum recycling could be done while the sun shines and produce power 24/7. 

Sustainable Impact 

Once they have developed the manufacturing techniques and processes, the team plans to test their efficacy by generating power for rural Georgia communities. Success here would prove the technology could be viable for military deployments and other off-grid scenarios. 

“The Deep South — especially middle and southern Georgia, Alabama, Mississippi, and Louisiana — often has enormous energy disruptions during hurricanes or power outages due to flooding and severe rains,” Stebner said. “Manufacturers can be hesitant to build big plants there, because the grids aren’t as stable. This same technology that the Army plans to use for remote military bases could be a game-changer in rural Georgia.”

If power is unexpectedly cut in those areas, floodwater could then be used to make hydrogen gas. While hydrogen has not yet had its day in the sun, it has great potential as an alternative to fossil fuels, Stebner says. 

“From a sustainability perspective, any time you can take something that’s already waste — like scrap aluminum and wastewater — and turn it into a high-value product that can be used to power communities, that is a huge win.” 

Funding: Army Research Office

PRIME-1, or Polar Resources Ice Mining Experiment-1, is a combination tool of two instruments: TRIDENT and MSOLO. PRIME-1’s objective is to help scientists determine resources available on the moon, with the eventual goal of sending humans to live there. TRIDENT is a space-rated drill designed and built by Honeybee Robotics that can extract lunar soil up to 3 feet deep. MSOLO is a mass spectrometer that can analyze TRIDENT’s soil samples for water and other critical volatiles. Together, this data can show how viable living on and mining from the moon could be.

Two Georgia Tech alumna, Jackie Williams Quinn and Janine E.  Captain, led the PRIME-1 team for NASA. They had help with computer modeling of PRIME-1’s mass spectrometer data from Georgia Tech’s Regents’ Professor Thom Orlando and Senior Research Scientist Brant Jones in the School of Chemistry and Biochemistry. 

Georgia Tech to the Moon

Georgia Tech’s expertise influenced all areas of developing PRIME-1, but perhaps their biggest contribution was the collaboration across disciplines. 

Quinn, a civil engineering graduate, wrote the initial proposal. She also managed TRIDENT’s development, through a contract with Honeybee Robotics, ensuring it was also built to operate in the harsh lunar environment (a process known as ruggedizing). The team worked with Honeybee’s Jameil Bailey, fellow Tech alumnus.

Captain, the MSOLO principal investigator and chemistry Ph.D. graduate, never planned to work at NASA. But her advisor, Orlando, got her interested. 

“What drew me to NASA’s In-Situ Resource Utilization team is that I could apply the instrumentation techniques that I learned in my Ph.D.  to measuring vital things like oxygen on the moon,” Captain said. 

Ruggedization Redux

When it was confirmed in 2008 the moon had water, NASA wondered if humans could one day live there. Having a functional mass spectrometer on the moon was paramount to determining where the water was and how much of it existed. Captain’s team modified a commercial mass spectrometer and tested it in a harsh environment comparable to the moon: Hawaii’s dormant shield volcano, Mauna Kea. Once they demonstrated the mission operation in this environment, they worked to ruggedize an existing one manufactured by instrumentation company INFICON. The team worked with INFICON and through lab tests, they showed that all components of the mass spectrometer functioned in a lunar vacuum environment.  

In Orlando’s lab, his team experimented with lunar material to determine how water interacts with lunar soil. From there, they created a theoretical model that simulated how much water they might find from what PRIME-1 sampled.  

“To create the model, we used the data of how water sticks to the lunar surface — from controlled experiments carried out in our ultra-high vacuum chambers at Georgia Tech,” Orlando said. “We approached the problem from a surface physics point of view in these lab experiments, but then in our model, we were able to connect to the actual mission activity.”

Once PRIME-1 hardware validation testing was finished, NASA was ready to launch.  That’s when things got hairy.

“We don't fully understand everything that happened during the landing, but the fact that PRIME-1 was fully functional is pretty amazing,” Captain said. “We got the data. It was so cool to know that all this work we did was worth it.” 

Moon Milestones

Although they didn’t get the chance to drill into the moon as planned, they can still analyze the data PRIME-1 pulled from the lunar atmosphere. This data includes how the spacecraft may have contaminated the local atmosphere.

“PRIME-1 was the only instrument that got to fully run and check out everything because when the lander fell over, the instrument was on top,” Quinn noted. “They were able to extend the drill all the way out a meter. It was drilling into empty space, but we were able to show that the drill got the signal from Earth, fully extended, and was able to auger and percuss. We were also able to fully operate MSOLO and gather data on gases coming off the lander in its final resting orientation.” 

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The SRI builds upon Georgia Tech’s long and distinguished history in space research and exploration. By uniting experts across disciplines — from aerospace engineering to planetary science, astrophysics, robotics, policy, the arts, and origin of life explorations — the SRI aims to create a resilient ecosystem for space research that can adapt and thrive, even in an era of fiscal uncertainty. It is composed of faculty, staff, and students whose collaborative research spans a broad spectrum of space-related topics, all deeply connected to advancing our understanding of space and its impact on the human experience.

“The launch of the SRI comes at a pivotal moment for the scientific community,” said Vice President of Interdisciplinary Research Julia Kubanek. “As the federal government proposes major cuts to funding agencies, our interdisciplinary research institutes are striving to support faculty and make them more competitive across disciplinary boundaries. This institute will publicly showcase impactful research led by Georgia Tech faculty, attract new collaborators, and pursue alternative funding strategies via philanthropic and industry partners.”

The Space Research Institute will consist of an interdisciplinary community of faculty across Georgia Tech’s schools, colleges, and the Georgia Tech Research Institute (GTRI). 

“It is an honor to be appointed executive director of the Space Research Institute,” said Ready. “My plan is to provide internal and external space researchers with access to Georgia Tech’s world class facilities and turbocharge the space activities already underway. We’re committed to empowering our existing community while forging new partnerships that will expand our reach and impact across the global space ecosystem.”

Ready, a principal research engineer in GTRI’s Electro-Optical Systems Laboratory, is the first GTRI faculty member to serve in a long-term capacity as an IRI executive director. Prior to his appointment, he served as associate director of external engagement for the Georgia Tech Institute for Matter and Systems and director of the Georgia Tech Center for Space Technology and Research (CSTAR). He is also an adjunct professor in the School of Materials Science and Engineering at Georgia Tech.

Before joining the Georgia Tech faculty, Ready worked for General Dynamics and MicroCoating Technologies. Throughout his career, he has served as PI or co-PI for grants totaling more than $25M awarded by the Army, Navy, Air Force, DARPA, NASA, NSF, NIST, DOE, other federal sponsors, industry, charitable foundations, private citizens, and the States of Georgia and Florida. His current research focuses primarily on energy capture, storage, and delivery enabled by nanomaterial design. His research has been included on three missions to the International Space Station, two others to low earth orbit, and one perpetually in heliocentric orbit (Lunar Flashlight). His future space missions include MISSE-21 to the International Space Station and SSTEF-1 to the Lunar surface. A half dozen solar cells from his past missions to the International Space Station will be included in the permanent At Home in Space exhibit opening on the Smithsonian National Air and Space Museum's 50th Anniversary.

Ready has received numerous awards and honors for his work. His most recent awards include the Class of 1934 Outstanding Innovative Use of Education Technology award in 2025 and the Outstanding Achievement in Research Program Development award in 2023, both from Georgia Tech. He also received the One GTRI Collaboration Award in 2022, which he was awarded during GTRI’s annual Distinguished Performance Awards celebration.

Additional articles of interest:

10 Questions with Jud Ready
Space Station Testing Will Evaluate Photovoltaic Materials

The new institutes focus on expanding breakthroughs in neuroscience and space, two areas where research and federal funding are anticipated to remain strong. Both fields are poised to influence research in everything from healthcare and ethics to exploration and innovation. This expansion of Georgia Tech’s research enterprise represents the Institute’s commitment to research that will shape the future.

“At Georgia Tech, innovation flourishes where disciplines converge. With the launch of the Space Research Institute and the Institute for Neuroscience, Neurotechnology, and Society, we’re uniting experts across fields to take on some of humanity’s most profound questions. Even as we are tightening our belts in anticipation of potential federal R&D budget actions, we also are investing in areas where non-federal funding sources will grow and where big impacts are possible,” said Executive Vice President for Research Tim Lieuwen. "These institutes are about advancing knowledge — and using it to improve lives, inspire future generations, and help shape a better future for us all.”

Both INNS and SRI grew out of faculty-led initiatives shaped by a strategic planning process and campus-wide collaboration. Their evolution into formal institutes underscores the strength and momentum of Georgia Tech’s interdisciplinary research enterprise. 

Georgia Tech’s 11 IRIs support collaboration between researchers and students across the Institute’s seven colleges, the Georgia Tech Research Institute (GTRI), national laboratories, and corporate entities to tackle critical topics of strategic significance for the Institute as well as for local, state, national, and international communities.

"IRIs bring together Georgia Tech researchers making them more competitive and successful in solving research challenges, especially across disciplinary boundaries,” said Julia Kubanek, vice president of interdisciplinary research. “We're making these new investments in neuro- and space-related fields to publicly showcase impactful discoveries and developments led by Georgia Tech faculty, attract new partners and collaborators, and pursue alternative funding strategies at a time of federal funding uncertainty."

The Space Research Institute

The Space Research Institute will connect faculty, students, and staff who share a passion for space exploration and discovery. They will investigate a wide variety of space-related topics, exploring how space influences and intersects with the human experience. The SRI fosters a collaborative community including scientific, engineering, cultural, and commercial research that pursues broadly integrated, innovative projects.

SRI is the hub for all things space-related at Georgia Tech. It connects the Institute’s schools, colleges, research institutes, and labs to lead conversations about space in the state of Georgia and the world. Working in partnership with academics, business partners, philanthropists, students, and governments, Georgia Tech is committed to staying at the forefront of space-related innovation.   

The SRI will build upon the collaborative work of the Space Research Initiative, the first step in formalizing Georgia Tech’s broad interdisciplinary space research community. The Initiative brought together researchers from across campus and was guided by input from Georgia Tech stakeholders and external partners. It was led by an executive committee including Glenn Lightsey, John W. Young Chair Professor in the Daniel Guggenheim School of Aerospace Engineering; Mariel Borowitz, associate professor in the Sam Nunn School of International Affairs; and Jennifer Glass, associate professor in the School of Earth and Atmospheric Sciences. Beginning July 1, W. Jud Ready, a principal research engineer in GTRI’s Electro-Optical Systems Laboratory, will serve as the inaugural executive director of the Space Research Institute.

To receive the latest updates on space research and innovation at Georgia Tech, join the SRI mailing list. 

The Institute for Neuroscience, Neurotechnology, and Society

The Institute for Neuroscience, Neurotechnology, and Society (INNS) is dedicated to advancing neuroscience and neurotechnology to improve society through discovery, innovation, and engagement. INNS brings together researchers from neuroscience, engineering, computing, ethics, public policy, and the humanities to explore the brain and nervous system while addressing the societal and ethical dimensions of neuro-related research.

INNS builds on a foundation established over a decade ago, which first led to the GT-Neuro Initiative and later evolved into the Neuro Next Initiative. Over the past two years, this effort has culminated in the development of a comprehensive plan for an IRI, guided by an executive committee composed of faculty and staff from across Georgia Tech. The committee included Simon Sponberg, Dunn Family Associate Professor in the School of Physics and the School of Biological Sciences; Christopher Rozell, Julian T. Hightower Chaired Professor in the School of Electrical and Computer Engineering; Jennifer Singh, associate professor in the School of History and Sociology; and Sarah Peterson, Neuro Next Initiative program manager. Their leadership shaped the vision for a research community both scientifically ambitious and socially responsive.

INNS will serve as a dynamic hub for interdisciplinary collaboration across the full spectrum of brain-related research — from biological foundations to behavior and cognition, and from fundamental research to medical innovations that advance human flourishing. Research areas will encompass the foundations of human intelligence and movement, bio-inspired design and neurotechnology development, and the ethical dimensions of a neuro-connected future. 

By integrating technical innovation with human-centered inquiry, INNS is committed to ensuring that advances in neuroscience and neurotechnology are developed and applied ethically and responsibly. Through fostering innovation, cultivating interdisciplinary expertise, and engaging with the public, the institute seeks to shape a future where advancements in neuroscience and neurotechnology serve the greater good. INNS also aims to deepen Georgia Tech’s collaborations with clinical, academic, and industry partners, creating new pathways for translational research and real-world impact.

An internal search for INNS’s inaugural executive director is in the final stages, with an announcement expected soon.

Join our mailing list to receive the latest updates on everything neuro at Georgia Tech.

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What happens when a country seeks to develop a peaceful nuclear energy program? Every peaceful program starts with a promise not to build a nuclear weapon. Then, the global community verifies that stated intent via the Treaty on the Non-Proliferation of Nuclear Weapons.

Once a country signs the treaty, the world’s nuclear watchdog, the International Atomic Energy Agency, provides continuous and technical proof that the country’s nuclear program is peaceful.

The IAEA ensures that countries operate their programs within the limits of nonproliferation agreements: low enrichment and no reactor misuse. Part of the agreement allows the IAEA to inspect nuclear-related sites, including unannounced surprise visits.

These are not just log reviews. Inspectors know what should and should not be there. When the IAEA is not on site, cameras, tamper-revealing seals on equipment and real-time radiation monitors are working full-time to gather or verify inside information about the program’s activities.

Safeguards Toolkit

The IAEA safeguards toolkit is designed to detect proliferation activities early. Much of the work is fairly technical. The safeguards toolkit combines physical surveillance, material tracking, data analytics and scientific sampling. Inspectors are chemists, physicists and nuclear engineers. They count spent fuel rods in a cooling pond. They check tamper seals on centrifuges. Often, the inspectors walk miles through hallways and corridors carrying heavy equipment.

That’s how the world learned in April 2021 about Iran pushing uranium enrichment from reactor-fuel-grade to near-weapons-grade levels. IAEA inspectors were able to verify that Iran was feeding uranium into a series of centrifuges designed to enrich the uranium from 5%, used for energy programs, to 60%, which is a step toward the 90% level used in nuclear weapons.

Around the facilities, whether for uranium enrichment or plutonium processing, closed-circuit surveillance cameras monitor for undeclared materials or post-work activities. Seals around the facilities provide evidence that uranium gas cylinders have not been tampered with or that centrifuges operate at the declared levels. Beyond seals, online enrichment monitors allow inspectors to look inside of centrifuges for any changes in the declared enrichment process.

Seals verify whether nuclear equipment or materials have been used between onsite inspections.

When the inspectors are on-site, they collect environmental swipes: samples of nuclear materials on surfaces, in dust or in the air. These can reveal if uranium has been enriched to levels beyond those allowed by the agreement. Or if plutonium, which is not used in nuclear power plants, is being produced in a reactor. Swipes are precise. They can identify enrichment levels from a particle smaller than a speck of dust. But they take time, days or weeks. Inspectors analyze the samples at the IAEA’s laboratories using sophisticated equipment called mass spectrometers.

In addition to physical samples, IAEA inspectors look at the logs of material inventories. They look for diversion of uranium or plutonium from normal process lines, just like accountants trace the flow of finances, except that their verification is supported by the ever-watching online monitors and radiation sensors. They also count items of interest and weigh them for additional verification of the logs.

Beyond accounting for materials, IAEA inspectors verify that the facility matches the declared design. For example, if a country is expanding centrifuge halls to increase its enrichment capabilities, that’s a red flag. Changes to the layout of material processing laboratories near nuclear reactors could be a sign that the program is preparing to produce unauthorized plutonium.

Losing Access

Iran announced on June 28, 2025, that it has ended its cooperation with the IAEA. It removed the monitoring devices, including surveillance cameras, from centrifuge halls. This move followed the news by the IAEA that Iran’s enrichment activities are well outside of allowed levels. Iran now operates sophisticated uranium centrifuges, like models IR-6 and IR-9.

Removing IAEA access means that the international community loses insight into how quickly Iran’s program can accumulate weapon-grade uranium, or how much it has produced. Also lost is information about whether the facility is undergoing changes for proliferation purposes. These processes are difficult to detect with external surveillance, like satellites, alone.

A satellite view of Iran’s Arak Nuclear Complex, which has a reactor capable of producing plutonium. Satellite image (c) 2025 Maxar Technologies via Getty Images

An alternative to the uranium enrichment path for producing nuclear weapons material is plutonium. Plutonium can’t be mined, it has to be produced in a nuclear reactor. Iran built a reactor capable of producing plutonium, the IR-40 Heavy Water Research Reactor at the Arak Nuclear Complex.

Iran modified the Arak reactor under the now-defunct Joint Comprehensive Plan of Action to make plutonium production less likely. During the June 2025 missile attacks, Israel targeted Arak’s facilities with the aim of eliminating the possibility of plutonium production.

With IAEA access suspended, it won’t be possible to see what happens inside the facility. Can the reactor be used for plutonium production? Although a lengthier process than the uranium enrichment path, plutonium provides a parallel path to uranium enrichment for developing nuclear weapons.

Continuity of Knowledge

North Korea expelled IAEA inspectors in 2009. Within a few years, they restarted activities related to uranium enrichment and plutonium production in the Yongbyon reactor. The international community’s information about North Korea’s weapons program now relies solely on external methods: satellite images, radioactive particles like xenon – airborne fingerprints of nuclear activities – and seismic data.

What is lost is the continuity of the knowledge, a chain of verification over time. Once the seals are broken or cameras are removed, that chain is lost, and so is confidence about what is happening at the facilities.

When it comes to IAEA inspections, there is no single tool that paints the whole picture. Surveillance plus sampling plus accounting provide validation and confidence. Losing even one weakens the system in the long term.

The existing safeguards regime is meant to detect violations. The countries that sign the nonproliferation treaty know that they are always watched, and that plays a deterrence role. The inspectors can’t just resume the verification activities after some time if access is lost. Future access won’t necessarily enable inspectors to clarify what happened during the gap.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

The assessment, funded by the city’s Tree Recompense Fund, uses advanced remote sensing tools such as WorldView-2 satellite data and a random forest classification model to categorize land into three land cover types. These include tree canopy, non-tree vegetation (grass, shrubs, and low lying vegetation) and non-vegetation (water, pervious surface). The methodology delivers a detailed spatial picture of land cover across the city.

“This is simply a tool in their planning arsenal,” said Anthony Giarrusso, who has led every canopy study since 2008. “Before they did any of this work in 2008, everything was anecdotal. It was reactionary.”

The new study is not advocacy — it’s information. Giarrusso emphasized that while researchers stay neutral in the politics of urban growth and conservation, their work equips city leaders with science-based knowledge to make more effective zoning and planning decisions.

In addition to mapping existing conditions, the Georgia Tech team developed the Potential Planting Index (PPI), a scalable tool that identifies where tree planting is physically possible based on current land cover. The tool quantifies the difference between tree canopy and non-tree vegetation, indicating zones with restoration potential.

Another key insight is the challenge of interpreting canopy change without understanding land use patterns. “It gives you a false sense of stability if you don’t understand the underlying land use,” said Giarrusso. “You might see canopy regrowth on paper, but that land could be cleared again tomorrow.” He explained that this false signal is particularly common in stalled development sites: “We saw a lot of properties where trees had regrown after initial clearing, but it was temporary and monoculture, low quality canopy. Several of those areas were cleared again for construction later.”

Giarrusso pointed to these “loss-gain-loss” cycles as one of the more misleading aspects of tree canopy analysis without strong land use context. “Some of them were pipe farms — land cleared for development with infrastructure like water and sewer lines installed, but then construction never happened. So trees grow back, and you get a canopy gain that doesn’t last and is nowhere near the quality of the trees originally cleared.”

He stressed that policymakers need to consider the permanence of canopy when using the data. “If it’s just going to be cleared again in two years, it’s not really a gain. That’s why long-term tracking and land use analysis together are so important.”

The city has incorporated these tools into broader planning efforts, including zoning reform and tree ordinance revisions. The research supports recommendations such as restricting full lot clearing in certain zoning categories and adjusting setback or lot coverage limits to better preserve existing canopy.

Giarrusso underscored the urgency of protecting larger, intact forested tracts. “If you can see it from space and it’s still forest — save it,” he said. “Once it’s cleared, you don’t get it back.”

For centuries, farmers have neutralized soil acidity with a practice called liming. It involves mixing crushed calcium- or magnesium-rich rocks, known as limestone, into the soil to balance pH. But liming has long been an assumed tradeoff in which removing acid also meant increasing carbon emissions into the atmosphere.

New research from Georgia Tech shows that the opposite may be true. Agricultural liming can actually reduce atmospheric carbon dioxide and improve crop yield. 

“The current thinking about liming is that farmers must choose between doing something that could benefit them economically or reducing their greenhouse gas emissions,” said Chris Reinhard, an associate professor in the School of Earth and Atmospheric Sciences. “But this is often a false choice. They can do both.”

The researchers published a new framework for the potential role of liming in food security and greenhouse gas mitigation in August in the paper, “Using Carbonates for Carbon Removal,” in Nature Water. 

Collecting Carbon Data

The framework is based in part on ongoing work Reinhard and his collaborators are pursuing on the impacts of agricultural liming in the Upper Midwest’s Corn Belt for a Department of Energy study. With funding from the Grantham Foundation, they’re now turning their attention to local farms in southern Georgia and North Carolina. 

For each farm, the researchers measure data that most farmers would collect already, like soil pH and nutrients. But the team also tracks more specialized measurements, including trace elements and greenhouse gas fluxes in the soil. All this data is matched to a high-resolution, machine learning grid of the farm’s geography to determine exactly which crops might benefit. 

The researchers are using the data to build a computer model that predicts how carbon dioxide and other greenhouse gases will move through any particular soil system. Liming won’t universally absorb carbon dioxide — or if it does, there may be an occasional time delay between carbon emissions and absorption — which is why the researchers factor soil, crop rotation, climate, and other management practices into their calculations.

“Our goal is to develop a way that farmers can monitor and plan cheaply, and largely through techniques they are already using, so we don't have to send out a whole team to gather data,” Reinhard said. “We are trying to develop a predictive model architecture for planning agricultural practice across scales, but it’s important that the techniques required on the field are actually feasible for farmers.”

This data could be pivotal for farmers, and it could also help policymakers as they address farming subsidies and foreign aid funding. Globally, food-insecure regions like sub-Saharan Africa could become more self-sufficient with more liming. Farmers in parts of the U.S. could also improve their yields and, in effect, their profits, if they limed more fields. 

The added benefit of lowering carbon could get even more farmers on board, and there is extensive exploration and implementation of agricultural practices already on voluntary and governmental carbon markets. Carbon dioxide is only one greenhouse gas that liming can lower; researchers are also exploring how liming can reduce methane and nitrous oxide — the latter of which is a key climate impact of human agriculture and is often considered a “hard-to-abate” emission. 

Liming may be a centuries-old practice, but its applications are potentially much wider than initially believed. In the future, farming may be part of the answer to reducing carbon emissions, instead of part of the problem. 

Their findings, published this month in the journal Science, help explain how small particle pollution — think industrial emissions and car exhaust, wildfires and burning wood for heat and cooking — can lead to Lewy body dementia, a devastating disease that causes toxic clumps of protein to destroy nerve cells in the brain. 

"Epidemiological studies have suggested a strong link between air pollution and dementia, but what sets this study apart is that we also provide a convincing biological mechanism,” says Pengfei Liu, assistant professor School of Earth and Atmospheric Sciences and one of the study’s co-authors. “This collaborative work shows that fine particulate matter from different geographic regions consistently triggers a specific stain of misfolded protein that drives Lewy body dementia." 

The work has “profound implications” for helping scientists and policy makers better understand measures to prevent this type of dementia, which is among the most common forms of the disease and affects millions of people around the world.

Along with Liu, the research team from Georgia Tech includes Rodney Weber, professor in the School of Earth and Atmospheric Sciences; Minhan Park, a postdoctoral research fellow co-advised by Liu and Weber; Bin Bai, a graduate student in Liu’s lab; and Ma Cristine Faye Denna, a graduate student in Weber’s lab.

“Figuring out how exposure to atmospheric aerosols might be linked to dementia, and what mechanisms are involved, is a complex and challenging problem — and as this study shows, it takes a large team with many different areas of expertise,” Weber adds.

Learn more:

• Science: Lewy body dementia promotion by air pollutants
• Johns Hopkins Medicine newsroom
• Columbia University newsroom
• Press: The Guardian

“Peatlands are essential carbon stores, but as temperatures warm, this carbon is in danger of being released as carbon dioxide and methane,” says Kostka, who is also the associate chair for Research in the School of Biological Sciences and the director of Georgia Tech for Georgia’s Tomorrow. Understanding the ratio of carbon dioxide to methane is critical, he adds, because while both are greenhouse gasses, methane is significantly more potent.

Kostka is the corresponding author of a new study unearthing how and why peatlands are producing carbon dioxide and methane. 

The research, “Northern peatland microbial communities exhibit resistance to warming and acquire electron acceptors from soil organic matter,” was published this summer in Nature Communications, and was led by co-first authors Borja Aldeguer-Riquelme, a postdoctoral research associate in the Environmental Microbial Genomics Laboratory, and Katherine Duchesneau, a Ph.D. student in the School of Biological Sciences.

The study builds on a decade of research at the Oak Ridge National Lab’s Spruce and Peatland Responses Under Changing Environments (SPRUCE) experiment, a long-term research project in Minnesota that allows researchers to warm whole sections of wetland from tree top to bog bottom.

“Over the past 10 years, we’ve shown that warming in this large-scale climate experiment increases greenhouse gas production,” Kostka says. “But while warming makes the bog produce more methane, we still observe a lot more CO2 production than methane. In this paper, we take a critical step towards discovering why — and describing the mechanisms that determine which gases are released and in what amounts.”

Methane mystery

The subdued methane production in peatlands has been a long-standing mystery. In water-saturated wetlands, oxygen is scarce, but microbes still need to respire — a type of ‘breathing’ that allows them to produce energy for metabolic function. Without oxygen, microbes use nitrate, sulfate, or metals to respire — still releasing carbon dioxide in the process. However, if these ingredients aren’t present, microbes ‘breathe’ in a way that releases methane.

Since nitrate, sulfate, and metals are relatively rare in peatlands, methane production should be the most likely pathway, but surprisingly, observations show the opposite. “In both fieldwork and lab experiments, peatlands produce much more carbon dioxide than methane,” Kostka explains. “It’s puzzling because the soil conditions should help methane production dominate.”

To solve this mystery, the team leveraged a suite of cutting-edge genetic tools called “omics” —  metagenomics (studying DNA), metatranscriptomics (studying RNA), and metabolomics (a technique used to study the “leftovers” of metabolism), providing a detailed look under the hood of the microbial “engine” that cycles organic matter in wetlands. It also gave a new window into the diversity of soil microbes in wetlands: 80 percent of the organisms identified in the study were new at the genus level.

‘Omics’ innovations

Over the course of several years, the team collected samples from a peatland enclosed in an experimental chamber that was slowly warmed, then analyzed the samples using omics to see how they changed. Initially, they hypothesized that warming the soil would cause microbial communities to change quickly. “Microbes can evolve and grow rapidly,” Kostka says. “But that didn’t happen.”

The DNA-based methods showed that while the microbial communities stayed largely stable, the bog did release more greenhouse gasses as it warmed. To assess the metabolic potential of the microbes, Duchesneau and Aldeguer-Riquelme constructed microbial genomes, investigating how they were decomposing the organic matter in peatlands and cycling carbon.

“We found that microbial activity increases with warming, but the growth response of microbial communities lags behind these changes in physiological or metabolic activity,” Kostka says. He cautions that this doesn’t necessarily mean that wetland communities won’t change as climates warm — just that these shifts might come behind metabolic ones. 

A diversity of discoveries

And the methane? The team believes that microbes may be breaking down organic matter to access the key ingredients for producing carbon dioxide — nitrate, sulfate, and metals — though more research is currently underway to investigate this.

“Doing this type of integrated omics research in soil systems is still incredibly difficult,” Kostka says. The challenge is multifaceted: the research leverages years of experiments, long-term datasets, advanced laboratory techniques, and fieldwork innovations. 

At SPRUCE, experimental chambers are about 1,000 square feet. While it’s an impressive experimental setup, researchers still must be careful: “We need to take soil samples for many years, so if we take too many, there’d be no soil left!” Kostka explains. “Part of our research involves developing better, non-destructive sampling techniques.”

The other challenge lies in what makes these peatlands so unique: it’s very hard to detect small changes because of the sheer diversity of organisms present. “Every time we conduct this type of research, we learn more about these incredible systems,” he says. “There’s always something new.”

DOI: https://doi.org/10.1038/s41467-025-61664-7

Funding: The Office of Biological and Environmental Research, Terrestrial Ecosystem Science Program and Genomic Science programs, under the US Department of Energy (DOE); the Environmental Molecular Sciences Laboratory, a DOE Office of Science User Facility sponsored by the Biological and Environmental Research program. The SPRUCE experiment is funded by the Biological and Environmental Research program in the U.S. Department of Energy’s Office of Science.

Some major oil companies such as Shell and BP that once were touted as leading the way in clean energy investments are now pulling back from those projects to refocus on oil and gas production. Others, such as Exxon Mobil and Chevron, have concentrated on oil and gas but announced recent investments in carbon capture projects, as well as in lithium and graphite production for electric vehicle batteries.

National oil companies have also been investing in renewable energy. For example, Saudi Aramco has invested in clean energy while at the same time asserting that it’s unrealistic to phase out oil and gas entirely.

But the larger question is why oil companies would invest in clean energy at all, especially at a time when many federal clean energy incentives are being eliminated and climate science is being dismantled, at least in the United States.

Some answers depend on whom you ask. More traditional petroleum industry followers would urge the companies to keep focused on their core fossil fuel businesses to meet growing energy demand and corresponding near-term shareholder returns. Other shareholders and stakeholders concerned about sustainability and the climate – including an increasing number of companies with sustainability goals – would likely point out the business opportunities for clean energy to meet global needs.

Other answers depend on the particular company itself. Very small producers have different business plans than very large private and public companies. Geography and regional policies can also play a key role. And government-owned companies such as Saudi Aramco, Gazprom and the China National Petroleum Corp. control the majority of the world’s oil and gas resources with revenues that support their national economies.

Despite the relatively modest scale of investment in clean energy by oil and gas companies so far, there are several business reasons oil companies would increase their investments in clean energy over time.

The oil and gas industry has provided energy that has helped create much of modern society and technology, though those advances have also come with significant environmental and social costs. My own experience in the oil industry gave me insight into how at least some of these companies try to reconcile this tension and to make strategic portfolio decisions regarding what “green” technologies to invest in. Now the managing director and a professor of the practice at the Ray C. Anderson Center for Sustainable Business at Georgia Tech, I seek ways to eliminate the boundaries and identify mutually reinforcing innovations among business interests and environmental concerns.

Diversification and Financial Drivers

Just like financial advisers tell you to diversify your 401(k) investments, companies do so to weather different kinds of volatility, from commodity prices to political instability. Oil and gas markets are notoriously cyclical, so investments in clean energy can hedge against these shifts for companies and investors alike.

Clean energy can also provide opportunities for new revenue. Many customers want to buy clean energy, and oil companies want to be positioned to cash in as this transition occurs. By developing employees’ expertise and investing in emerging technologies, they can be ready for commercial opportunities in biofuels, renewable natural gas, hydrogen and other pathways that may overlap with their existing, core business competencies.

Fossil fuel companies have also found what other companies have: Clean energy can reduce costs. Some oil companies not only invest in energy efficiency for their buildings but use solar or wind to power their wells. And adding renewable energy to their activities can also lower the cost of investing in these companies.

Public Pressure

All companies, including those in oil and gas, are under growing pressure to address climate change, from the public, from other companies with whom they do business and from government regulators – at least outside the U.S. For example, campaigns seeking to reduce investment in fossil fuels are increasing along with climate-related lawsuits. Government policies focused on both mitigating carbon emissions and enhancing energy independence are also making headway in some locations.

In response, many oil companies are reducing their own operational emissions and setting targets to offset or eliminate emissions from products that they sell – though many observers question the viability of these commitments. Other companies are investing in emerging technologies such as hydrogen and methods to remove carbon dioxide from the atmosphere

Some companies, such as BP and Equinor, have previously even gone so far as rebranding themselves and acquiring clean energy businesses. But those efforts have also been criticized as “greenwashing,” taking actions for public relations value rather than real results.

How Far Can This Go?

It is even possible for a fossil fuel company to reinvent itself as a clean energy operation. Denmark’s Orsted – formerly known as Danish Oil and Natural Gas – transitioned from fossil fuels to become a global leader in offshore wind. The company, whose majority owner is the Danish government, made the shift, however, with the help of significant public and political support.

But most large oil companies aren’t likely to completely reinvent themselves anytime soon. Making that change requires leadership, investor pressure, customer demand and shifts in government policy, such as putting a price or tax on carbon emissions.

To show students in my sustainability classes how companies’ choices affect both the environment and the industry as a whole, I use the MIT Fishbanks simulation. Students run fictional fishing companies competing for profit. Even when they know the fish population is finite, they overfish, leading to the collapse of the fishery and its businesses. Short-term profits cause long-term disaster for the fishery and the businesses that depend on it.

The metaphor for oil and gas is clear: As fossil fuels continue to be extracted and burned, they release planet-warming emissions, harming the planet as a whole. They also pose substantial business risks to the oil and gas industry itself.

Yet students in a recent class showed me that a more collective way of thinking may be possible. Teams voluntarily reduced their fishing levels to preserve long-term business and environmental sustainability, and they even cooperated with their competitors. They did so without in-game regulatory threats, shareholder or customer complaints, or lawsuits.

Their shared understanding that the future of their own fishing companies was at stake makes me hopeful that this type of leadership may take hold in real companies and the energy system as a whole. But the question remains about how fast that change can happen, amid the accelerating global demand for more energy along with the increasing urgency and severity of climate change and its effects.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

School of Earth and Atmospheric Sciences Professor Yuhang Wang and his team studied the factors affecting SO₂ and sulfate concentrations during winter and summer in the “Rust Belt” — from New York through the Midwest — and the Southeast regions of the U.S. over two decades (2004 to 2023). Supported by the National Science Foundation and Georgia Tech’s Brook Byers Institute for Sustainable Systems, the team also developed an ensemble machine learning approach to project seasonal patterns until 2050. 

“Power plants, particularly those burning coal and oil, are a major source of SO₂ emissions in these regions,” says Wang, who co-authored, with Ph.D. students Fanghe Zhao and Shengjun Xi, the study recently published in Environmental Science & Technology Letters. 

Seasonal differences in atmospheric chemistry 

In the U.S., the chemistry in the atmosphere varies among the seasons. During summer, solar radiation from ample sunlight activates oxidant reactions that produce hydrogen peroxide (H₂O₂) in the atmosphere. The supply of H₂O₂ is determined by the amount of emitted air pollution, and once in the atmosphere, H₂O₂ can oxidize SO₂ quickly into sulfate aerosols in the aqueous phase. 

Sulfate aerosols from the oxidation of SO₂ contribute to the formation of particulate matter less than 2.5 micrometers in diameter (PM2.5). Particulate sulfate poses significant environmental and public health risks, including air pollution, acid rain, and circulatory and respiratory issues. 

“The supply of H₂O₂ in summer is eight times greater than in winter — a huge difference — which means sulfate concentrations are generally higher in summer and a reduction in SO₂ emissions leads to a proportional decrease in sulfate concentrations,” explains Wang. “When SO₂ emissions exceed the available supply of H₂O₂ in winter, the reduction in sulfate concentrations can be much smaller because of a ‘chemical damping’ effect that causes sulfate levels to decline more slowly than SO₂ emissions.” 

Narrowing the disparities between seasonal sulfate levels 

The study’s two-decade observations revealed distinct patterns in the reduction of SO₂ emissions and sulfate concentrations during winter and summer. 

While SO₂ emissions significantly decreased in both seasons­ over time — primarily from the Clean Air Act and more power plants transitioning from coal to natural gas — the reduction of sulfate concentrations initially showed large seasonal differences. However, over the past decade, the disparity between winter and summer sulfate levels narrowed as SO₂ emissions decreased.

According to Wang, the seasonal disparity of sulfate was caused by changing chemical regimes in winter over time. Although the lower supply of H₂O₂ remained stable in winter, SO₂ wintertime emissions were higher from 2004 to 2013, then dropped below the level of H₂O₂ after 2013 — reaching parity with the levels of reduced SO₂ emissions in the summer. 

“When you have this complexity of atmospheric chemistry, there is a non-linear effect in winter — as SO₂ emissions decreased, sulfate aerosol production efficiency increased until 2013, then flattened as of today. The reduction in sulfate aerosols initially lagged behind the decrease in SO₂ emissions but eventually caught up as a result of sustained air quality control efforts,” says Wang. “Conversely, there is a simple, linear effect in summer — the more SO₂ emissions, the more sulfate aerosols in the atmosphere — and if you reduce one, the other is reduced by the same proportion.”

Decades-long full impact 

From now until 2050, the researchers’ machine learning projections indicate a continuing decrease of winter and summer sulfate levels, which are currently around 20 percent, as SO₂ emission controls achieve comparable efficacy across the seasons. 

“We’re now seeing the full impact from the Clean Air Act,” concludes Wang, “and the nation’s sustained effort in pollution reduction is key to improving air quality and health outcomes.”

The team leveraged physics, model simulations, and satellite imagery to develop simple mathematical equations that can easily be integrated into existing climate models. It’s a first-of-it’s-kind tool that is already improving climate models.

“Melt lakes play an important role in ice sheet stability, but previously, there were no constraints on what we would expect their maximum size to be in Antarctica,” says study lead Danielle Grau, a Ph.D. student in the School of Earth and Atmospheric Sciences. “I was intrigued by the idea of quantifying how much of a role we could expect them to play in the future.”

The paper, “Predicting mean depth and area fraction of Antarctic supraglacial melt lakes with physics-based parameterizations,” was published in Nature Communications. In addition to Grau, the research team includes School of Earth and Atmospheric Sciences Professor Alexander Robel, who is Grau’s advisor, and Azeez Hussain (PHYS 2025).

Their predictions show that the majority of these lakes will be less than a meter deep and span up to 40% of the ice sheet surface area.

“Many models don’t include any data about lakes on the surface of ice sheets, while others simulate these melt lakes growing until the ice collapses,” Robel says. “Our results show that the reality is somewhere in between — and that the maximum size of these lakes can be predicted using these new equations. This gives us real, concrete numbers to use in climate models.”

From summer project to satellite discovery 

Grau first started working on the project as an undergraduate student when she applied for a Summer Research Experiences for Undergraduates program hosted by the School of Earth and Atmospheric Sciences.

Inspired by terrestrial lake research, Grau and Robel investigated the “self-affinity” of the Antarctic ice sheet — a property associated with surface roughness across various scales. For example, a landscape like Badlands National Park, with many rolling hills of a wide range of sizes, would have a different self-affinity than a flat prairie with three large volcanoes.

“A previous study had used this property to predict the size of terrestrial lakes and ponds, and we were curious if we could use a similar approach for supraglacial lakes in Antarctica,” Grau says. “Establishing that the Antarctic ice sheet also has this property was the first step in pursuing this research in more depth.” 

The mathematics of melt

Grau continued the investigation as a Ph.D. student in Robel’s lab. Together, they unraveled the physics of how meltwater moves across the ice surface, designing a ‘glacier in a computer’ that mimics meltwater accumulation and movement across various topographies.

“We designed an algorithm and integrated it into a model that the GT Ice & Climate Group has used in the past,” Grau says. “From that, we were able to see how lakes would form on different surfaces across thousands of scenarios. This was the foundation for the mathematical equations I developed, which can predict the lake depth and lake surface area based on the self-affinity property.”

To check their results, Grau enlisted the help of Hussain — then an undergraduate in the School of Physics — to examine satellite data from the Landsat satellite program (which captures detailed photography of the Earth’s surface from space) to measure existing supraglacial lakes and surface topography. 

“It was exciting to see how our predictions lined up with what we were seeing in the satellite imagery,” Robel explains. “This shows that our solution is a concrete avenue for climate models to realistically incorporate supraglacial lakes.”

Grau is already working to incorporate the team’s equations into an atmospheric model used by NASA in addition to an ice sheet model developed by the NASA Jet Propulsion Laboratory and Dartmouth College. 

“By turning complicated models and satellite data into simple predictive equations, we’re giving climate models a new lens to see the future,” she says. “It’s a small piece of the puzzle,  but one that helps us understand how ice sheets respond to a warming world.”

Funding: NASA Modeling, Analysis, and Prediction Program

DOI: https://doi.org/10.1038/s41467-025-61798-8 

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Deepakraj “Deepak” Divan

Professor Emeritus (2004-2025) 
Georgia Research Alliance Eminent Scholar 
School of Electrical and Computer Engineering 
Founder, Georgia Tech Center for Distributed Energy 

Deepakraj “Deepak” Divan is a globally recognized innovator in power electronics and grid transformation. He was awarded the IEEE Medal in Power Engineering in 2024.

He holds over 85 U.S. and international patents and has authored 400 refereed publications. His pioneering work on soft‑switching converters—integral for efficient energy storage, EV charging, and industrial controls—has spurred a global $70 billion power electronics industry.  

Divan laid the groundwork for grid‑forming inverter control, enabling high-renewables integration. He is the co-author of Energy 2040: Aligning Innovation, Economics and Decarbonization, named by Forbes as one of the “10 Essential Books and Podcasts Every Leader Needs in 2025”. 

“Being named an NAI Fellow is a tremendous honor,” said Divan. “It reflects years of effort to rethink how electricity is delivered and managed to solve real problems and to drive practical innovations that matter.” 

 As the founder of Georgia Tech’s Center for Distributed Energy, he led research that transforms electricity delivery through analytics, monitoring, and optimization.  

An entrepreneur, Divan co-founded Varentec (backed by Bill Gates and Khosla Ventures) and seeded ventures including GridBlock, Soft Switching Technologies, Innovolt, and Smart Wires—raising over $500 million. A National Academy of Engineering member and IEEE Fellow, he champions scalable energy-access solutions worldwide.

Countries around the world have been discussing the need to rein in climate change for three decades, yet global greenhouse gas emissions – and global temperatures with them – keep rising.

When it seems like we’re getting nowhere, it’s useful to step back and examine the progress that has been made.

Let’s take a look at the United States, historically the world’s largest greenhouse gas emitter. Over those three decades, the U.S. population soared by 28% and the economy, as measured by gross domestic product adjusted for inflation, more than doubled.

Yet U.S. emissions from many of the activities that produce greenhouse gases – transportation, industry, agriculture, heating and cooling of buildings – have remained about the same over the past 30 years. Transportation is a bit up; industry a bit down. And electricity, once the nation’s largest source of greenhouse gas emissions, has seen its emissions drop significantly.

Overall, the U.S. is still among the countries with the highest per capita emissions, so there’s room for improvement, and its emissions haven’t fallen enough to put the country on track to meet its pledges under the 10-year-old Paris climate agreement. But U.S. emissions are down about 15% over the past 10 years.

Here’s how that happened:

US Electricity Emissions Have Fallen

U.S. electricity use has been rising lately with the shift toward more electrification of cars and heating and cooling and expansion of data centers, yet greenhouse gas emissions from electricity are down by almost 30% since 1995.

One of the main reasons for this big drop is that Americans are using less coal and more natural gas to make electricity.

Both coal and natural gas are fossil fuels. Both release carbon dioxide to the atmosphere when they are burned to make electricity, and that carbon dioxide traps heat, raising global temperatures. But power plants can make electricity more efficiently using natural gas compared with coal, so it produces less emissions per unit of power.

Why did the U.S. start using more natural gas?

Research and technological innovation in fracking and horizontal drilling have allowed companies to extract more oil and gas at lower cost, making it cheaper to produce electricity from natural gas rather than coal.

As a result, utilities have built more natural gas power plants – especially super-efficient combined cycle gas power plants, which produce power from gas turbines and also capture waste heat from those turbines to generate more power. More coal plants have been shutting down or running less.

Because natural gas is a more efficient fuel than coal, it has been a win for climate in comparison, even though it’s a fossil fuel. The U.S. has reduced emissions from electricity as a result.

Significant improvements in energy efficiency, from appliances to lighting, have also played a role. Even though tech gadgets seem to be recharging everywhere all the time today, household electricity use, per person, plateaued over the first two decades of the 2000s after rising continuously since the 1940s.

Costs for Renewable Electricity, Batteries Fall

U.S. renewable electricity generation, including wind, solar and hydro power, has nearly tripled since 1995, helping to further reduce emissions from electricity generation.

Costs for solar and wind power have fallen so much that they are now cheaper than coal and competitive with natural gas. Fourteen states, including most of the Great Plains, now get at least 30% of their power from solar, wind and battery storage.

While wind power has been cost competitive with fossil fuels for at least 20 years, solar photovoltaic power has only been competitive with fossil fuels for about 10 years. So expect deployment of solar PV to continue to increase, both in the U.S. and internationally, even as U.S. federal subsidies disappear.

Both wind and solar provide intermittent power: The sun does not always shine, and the wind does not always blow. There are a number of ways utilities are dealing with this. One way is to use demand management, offering lower prices for power during off-peak periods or discounts for companies that can cut their power use during high demand. Virtual power plants aggregate several kinds of distributed energy resources – solar panels on homes, batteries and even smart thermostats – to manage power supply and demand. The U.S. had an estimated 37.5 gigawatts of virtual power plants in 2024, equivalent to about 37.5 nuclear power reactors.

Another energy management method is battery storage, which is just now beginning to take off. Battery costs have come down enough in the past few years to make utility-scale battery storage cost-effective.

What About Driving?

In the U.S., gasoline consumption has remained roughly constant but fuel efficiency has generally improved over the decades.

Sales of electric vehicle, which could cut emissions more, have been slow, however. Some of this could be due to the success of fracking: U.S. petroleum production has increased, and gasoline and diesel prices have remained relatively low.

People in other countries are switching to electric vehicles more rapidly than in the U.S. as the cost of EVs has fallen. Chinese consumers can buy an entry-level EV for under US$10,000 in China with the help of government subsidies, and the country leads the world in EV sales.

In 2024, people in the U.S. bought 1.6 million EVs, and global sales reached 17 million, up 25% from the year before.

The Unknowns Ahead: What About Data Centers?

The construction of new data centers, in part to serve the explosive growth of artificial intelligence, is drawing a lot of attention to future energy demand and to the uncertainty ahead.

Data centers are increasing electricity demand in some locations, such as northern Virginia, Dallas, Phoenix, Chicago and Atlanta. The future electricity demand growth from data centers is still unclear, though, meaning the effects of data centers on electric rates and power system emissions are also uncertain.

However, AI is not the only reason to watch for increased electricity demand: The U.S. can expect growing electricity demand for industrial processes and electric vehicles, as well as the overall transition from using oil and gas for heating and appliances to using electricity that continues across the country.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Following a nationwide search, Georgia Tech President Ángel Cabrera has named Timothy Lieuwen the Executive Vice President for Research (EVPR). Lieuwen has served as interim EVPR since September 10, 2024. 

They could burn low-sulfur fossil fuels, like marine gas oil, or install cleaning systems to remove sulfur from the exhaust gas produced by burning heavy fuel oil. Biofuels with lower sulfur content offer another alternative, though their limited availability makes them a less feasible option.

While installing exhaust gas cleaning systems, known as scrubbers, is the most feasible and cost-effective option, there has been a great deal of uncertainty among firms, policymakers, and scientists as to how “green” these scrubbers are.

Through a novel lifecycle assessment, researchers from MIT, Georgia Tech, and elsewhere have now found that burning heavy fuel oil with scrubbers in the open ocean can match or surpass using low-sulfur fuels, when a wide variety of environmental factors is considered.

The scientists combined data on the production and operation of scrubbers and fuels with emissions measurements taken onboard an oceangoing cargo ship.

They found that, when the entire supply chain is considered, burning heavy fuel oil with scrubbers was the least harmful option in terms of nearly all 10 environmental impact factors they studied, such as greenhouse gas emissions, terrestrial acidification, and ozone formation.

“In our collaboration with Oldendorff Carriers to broadly explore reducing the environmental impact of shipping, this study of scrubbers turned out to be an unexpectedly deep and important transitional issue,” says Neil Gershenfeld, an MIT professor, director of the Center for Bits and Atoms (CBA), and senior author of the study.

“Claims about environmental hazards and policies to mitigate them should be backed by science. You need to see the data, be objective, and design studies that take into account the full picture to be able to compare different options from an apples-to-apples perspective,” adds lead author Patricia Stathatou, an assistant professor at Georgia Tech's School of Chemical and Biomolecular Engineering, who began this study as a postdoc in the CBA.

Stathatou is joined on the paper by Michael Triantafyllou and others at the National Technical University of Athens in Greece and the maritime shipping firm Oldendorff Carriers. The research appears today in Environmental Science and Technology.

Slashing sulfur emissions

Heavy fuel oil, traditionally burned by bulk carriers that make up about 30 percent of the global maritime fleet, usually has a sulfur content around 2 to 3 percent. This is far higher than the International Maritime Organization’s 2020 cap of 0.5 percent in most areas of the ocean and 0.1 percent in areas near population centers or environmentally sensitive regions.

Sulfur oxide emissions contribute to air pollution and acid rain, and can damage the human respiratory system.

In 2018, fewer than 1,000 vessels employed scrubbers. After the cap went into place, higher prices of low-sulfur fossil fuels and limited availability of alternative fuels led many firms to install scrubbers so they could keep burning heavy fuel oil.

Today, more than 5,800 vessels utilize scrubbers, the majority of which are wet, open-loop scrubbers.

“Scrubbers are a very mature technology. They have traditionally been used for decades in land-based applications like power plants to remove pollutants,” Stathatou says.

A wet, open-loop marine scrubber is a huge, metal, vertical tank installed in a ship’s exhaust stack, above the engines. Inside, seawater drawn from the ocean is sprayed through a series of nozzles downward to wash the hot exhaust gases as they exit the engines.

The seawater interacts with sulfur dioxide in the exhaust, converting it to sulfates — water-soluble, environmentally benign compounds that naturally occur in seawater. The washwater is released back into the ocean, while the cleaned exhaust escapes to the atmosphere with little to no sulfur dioxide emissions.

But the acidic washwater can contain other combustion byproducts like heavy metals, so scientists wondered if scrubbers were comparable, from a holistic environmental point of view, to burning low-sulfur fuels.

Several studies explored toxicity of washwater and fuel system pollution, but none painted a full picture.

The researchers set out to fill that scientific gap.

A “well-to-wake” analysis

The team conducted a lifecycle assessment using a global environmental database on production and transport of fossil fuels, such as heavy fuel oil, marine gas oil, and very-low sulfur fuel oil. Considering the entire lifecycle of each fuel is key, since producing low-sulfur fuel requires extra processing steps in the refinery, causing additional emissions of greenhouse gases and particulate matter.

“If we just look at everything that happens before the fuel is bunkered onboard the vessel, heavy fuel oil is significantly more low-impact, environmentally, than low-sulfur fuels,” she says.

The researchers also collaborated with a scrubber manufacturer to obtain detailed information on all materials, production processes, and transportation steps involved in marine scrubber fabrication and installation.

“If you consider that the scrubber has a lifetime of about 20 years, the environmental impacts of producing the scrubber over its lifetime are negligible compared to producing heavy fuel oil,” she adds.

For the final piece, Stathatou spent a week onboard a bulk carrier vessel in China to measure emissions and gather seawater and washwater samples. The ship burned heavy fuel oil with a scrubber and low-sulfur fuels under similar ocean conditions and engine settings.

Collecting these onboard data was the most challenging part of the study.

“All the safety gear, combined with the heat and the noise from the engines on a moving ship, was very overwhelming,” she says.

Their results showed that scrubbers reduce sulfur dioxide emissions by 97 percent, putting heavy fuel oil on par with low-sulfur fuels according to that measure. The researchers saw similar trends for emissions of other pollutants like carbon monoxide and nitrous oxide.

In addition, they tested washwater samples for more than 60 chemical parameters, including nitrogen, phosphorus, polycyclic aromatic hydrocarbons, and 23 metals.

The concentrations of chemicals regulated by the IMO were far below the organization’s requirements. For unregulated chemicals, the researchers compared the concentrations to the strictest limits for industrial effluents from the U.S. Environmental Protection Agency and European Union.

Most chemical concentrations were at least an order of magnitude below these requirements.

In addition, since washwater is diluted thousands of times as it is dispersed by a moving vessel, the concentrations of such chemicals would be even lower in the open ocean.

These findings suggest that the use of scrubbers with heavy fuel oil can be considered as equal to or more environmentally friendly than low-sulfur fuels across many of the impact categories the researchers studied.

“This study demonstrates the scientific complexity of the waste stream of scrubbers. Having finally conducted a multiyear, comprehensive, and peer-reviewed study, commonly held fears and assumptions are now put to rest,” says Scott Bergeron, managing director at Oldendorff Carriers and co-author of the study.

“This first-of-its-kind study on a well-to-wake basis provides very valuable input to ongoing discussion at the IMO,” adds Thomas Klenum, executive vice president of innovation and regulatory affairs at the Liberian Registry, emphasizing the need “for regulatory decisions to be made based on scientific studies providing factual data and conclusions.”

Ultimately, this study shows the importance of incorporating lifecycle assessments into future environmental impact reduction policies, Stathatou says.

“There is all this discussion about switching to alternative fuels in the future, but how green are these fuels? We must do our due diligence to compare them equally with existing solutions to see the costs and benefits,” she adds.

This study was supported, in part, by Oldendorff Carriers.

- Written by Adam Zewe, MIT News Office

“These endowments are allowing stellar early and mid-career faculty to amplify their educational and research activities,” says EAS Chair Jean Lynch-Stieglitz. “We are grateful to reward their achievements and ensure they can continue to contribute at a high level to the ongoing growth of Georgia Tech’s new Environmental Science B.S. program and the School’s research profile in climate and sustainability.”

Jean “Chris” Purvis Early Career Award: Isaiah Bolden

EAS Assistant Professor Isaiah Bolden’s research focuses on providing foundational data needed for climate and sustainability science in vulnerable coastal environments. He and his team in the Chemical Oceanography – Observations and Outreach Lab study chemical fingerprints preserved in coastal waters, corals, and shells to provide early warning indicators and mitigation strategies to preserve biodiversity and ecosystem services.

“I am most excited by the award’s ability to provide the flexible, sustained support necessary to bridge the gap between academic discovery and community impact,” he says. “With this endowment, I can pursue high-risk, high-reward research questions and dedicate resources to long-term, community-based projects. It directly empowers my drive to put science to work as a tool for environmental policymaking and cultural preservation.”

Bolden plans to direct the funds to support marine science curricula for coastal Georgia middle and high school students, paid undergraduate internships, specialized sample analyses, and travel logistics.

New research: Bolden’s group is actively pioneering the use of coastal Georgia oyster shells as novel natural archives of environmental change. Similar to tropical corals, the oyster shells provide high-resolution data on local water quality, pollution, and climate shifts. This work is intended to dovetail with Bolden’s coastal community-based partnerships, including the Ladies and Lads in Lab Coats program, which provides students with STEM exposure and enables them to collect and analyze data that documents their region’s environmental history.

Jean “Chris” Purvis Professorship: Jennifer Glass

EAS Professor Jennifer Glass drives new research at the intersection of environmental microbiology and climate science. The Glass Lab investigates microorganisms that produce and consume greenhouse gases — focusing on the chemical-level mechanisms behind how these gases are created and destroyed — with the ultimate aim of harnessing biological processes to address some of the urgent environmental challenges facing humanity. One major focus of her research is the vast reserves of methane hydrate found beneath the continental margin seafloor, representing the largest natural gas resource on Earth.

“I’m incredibly thankful to the donor and the Institute,” says Glass, who is also the EAS associate chair for Undergraduate Affairs. “This support arrives at a critical time for environmental science and allows me to pursue new opportunities that would otherwise be out of reach.”

She plans to use the funds to attend key conferences, build new collaborations, and support student engagement in upcoming initiatives.

New research: The Glass Lab is exploring environmentally friendly ways to extract and recycle rare earth elements — critical minerals used in batteries and electric vehicles. By studying marine microbes, which are less understood than their soil counterparts, the team aims to develop green biotechnology alternatives to current mining practices.

Jean “Chris” Purvis Early Career Award: Alex Robel

EAS Associate Professor and Rising Tide Director Alex Robel combines physics, applied mathematics, and ocean sciences to understand how climate changes are impacting Earth’s largest ice sheets and glaciers. His research lab, the GT Ice and Climate Group, focuses on developing computational models of ice sheet melt to predict future sea level rise. In partnership with coastal communities, they leverage those predictions to help make city streets more resilient to flooding.

“This award helps me pursue more opportunities to engage closely with community partners, using climate information to make concrete improvements in their infrastructure,” explains Robel.

Specific plans for the funds include enhancing pilot projects in coastal resilience, including the Community Hubs for Optimizing Resilience (CHORUS) initiative. Using building-scale flood models, CHORUS will help communities select potential infrastructure interventions to mitigate future flooding that threatens valued community assets.

New research: Robel is launching a project to use machine learning methods to improve the representation of small-scale processes in ice sheet computational models. These methods will help his group blend an understanding of how ice flows and fractures, based on basic physical principles, with real-world measurements of crevasse formation on ice sheets.

Georgia Power Professorship: Yuanzhi Tang

EAS Professor Yuanzhi Tang is the founding director of the Center for Critical Mineral Solutions and associate director, Strategic Partnerships and Engagement for the Brook Byers Institute for Sustainable Systems. Her research integrates geochemistry, environmental engineering, and sustainability science to advance a circular economy for critical minerals, from resource discovery and recovery to recycling and reuse.

The Tang Research Group investigates the fundamental chemical, geological, and biological processes that control the transformation and mobility of critical elements across natural and engineered environments. Her work directly informs the development of low-impact extraction technologies and sustainable supply chains essential for clean energy transition.

“The Georgia Power Professorship provides support for building partnerships across academia and industry partners to accelerate innovation in critical minerals,” says Tang. “It enables us to link fundamental geochemical and geological science with real-world applications that strengthen both energy security and environmental stewardship.”

Tang plans to use the funds to expand student participation and interdisciplinary collaborations with academic and industry partners — positioning Georgia and the broader Southeast as a leader in sustainable mineral innovation.

New research: Tang’s research team is developing sustainable methods for the extraction and separation of critical minerals from alternative and waste resources. By coupling molecular-scale characterization with rational engineering design, her team aims to transform waste byproducts into valuable sources of critical elements while minimizing environmental impacts.

About the Purvis Endowment

The Jean “Chris” Purvis Endowed Awards are supported by the generosity of the late J. Chris Purvis, M.D. (Applied Biology 1969), a psychiatrist and neurologist who specialized in juvenile and adolescent behavioral psychiatry.

About the Georgia Power Professorship

The Georgia Power Professorship was established through the generosity of Georgia Power, which funds several endowed professorships at Georgia Tech to support faculty in fields like energy, science, sustainability, and engineering. 

In this episode, Beril Toktay, Regents' Professor and faculty director of the Ray C. Anderson Center for Sustainable Business, defines net zero and discusses some ways to alleviate climate change by reducing carbon emissions to the point of net zero emissions.

Globally, most major polluters, such as China, the U.S., India, and the EU, are among over 140 nations with net-zero goals, which encompasses roughly 88 percent of global emissions. Meeting the Paris Agreement's 1.5°C climate threshold requires 45 percent emissions cut by 2030 and net-zero emissions by 2050 (United Nations Climate Action).

Toktay describes ways this can be accomplished in different business sectors. For example, in the energy sectors, this means moving from fossil fuels to renewable technologies, and in the transportation sector, moving to electrification and innovative battery technologies as well as developing the infrastructure to support these initiatives. These efforts help move businesses towards achieving net zero as well as providing cleaner air and water, and better health outcomes to the global population.

Listen as Toktay discusses what net zero means, the importance of getting to net zero, and how businesses can help reduce carbon emissions. 

The big concern is that when every air conditioning unit is running at full blast, electricity demand can exceed total generating capacity and force the utility to implement rolling blackouts. These rolling blackouts avoid a total system failure but leave people without access to cooling and other electronics as temperatures reach dangerous levels.

As temperatures peak in the United States during the coming weeks, utilities and city governments may follow suit with similar requests for voluntary conservation. Voluntary requests for conservation in the United States are part of the standard energy emergency playbook and go back at least to President Carter’s request for Americans to reduce heating temperatures during the 1977 energy crisis.

So, do voluntary conservation requests work to save energy and prevent blackouts?

Read Full Story on the EPIcenter Newspage

While companies like Microsoft and Google have pledged to reach net-zero emissions, experts say more transparency and smarter policy are needed to ensure that data center development aligns with community and environmental priorities. That means ensuring adequate energy infrastructure, investing in renewables, training local workers, and mitigating water and carbon impacts through innovation.

A New Kind of Energy Crunch

The rapid rise of AI is fueling explosive demand for computing power — and in turn, energy.

“The proliferation of AI workloads has significantly increased data center energy requirements,” says Divya Mahajan, assistant professor in the School of Electrical and Computer Engineering. “Large-scale AI training, especially for language models, leads to elevated and sustained power draw, often nearing the thermal and power envelopes of graphics processing units systems.”

This sustained demand is particularly challenging in hot, humid regions like Georgia, where cooling systems must work harder. “Training these models can cause thermal instability that directly affects cooling efficiency and power provisioning,” Mahajan explains. “This amplifies reliance on external cooling infrastructure, increasing water consumption and grid strain.”

Environmental and Economic Pressure

“Each new data center could lead to greenhouse gas emissions equivalent to a small town,” says Marilyn Brown, Regents’ and Brook Byers Professor of Sustainable Systems in the School of Public Policy. “In Georgia, the growth of data centers has already led to plans for new gas plants and the extension of aging coal plants.”

There’s an environmental cost to this growth: electricity and water. A single large data center can consume up to 5 million gallons of water per day.

Rising demand has a price. “It’s simple supply and demand,” says Ahmed Saeed, assistant professor at the School of Computer Science. “As overall power demand increases, if supply doesn’t keep up, costs will rise and the most affected will be lower-income consumers.”

Still, experts are optimistic that policy and technology can help mitigate these impacts.

Innovation May Hold the Key

Despite the challenges, experts see opportunities for innovation. “Technologies like direct-to-chip cooling and liquid cooling are promising,” says Mahajan. “But they’re not yet widespread.”

Saeed notes that some companies are experimenting with radical ideas, like Microsoft’s underwater Project Natick or locating data centers in Nordic countries where ambient air can be used for cooling. These approaches challenge conventional infrastructure norms by placing servers underwater or in remote, cold regions. “These are exciting, but we need scalable solutions that work in places like Georgia,” he emphasizes.

What Communities Should Ask For

As communities compete to attract data centers, experts say they should push for commitments that go beyond job creation.

“Communities should ensure that their power infrastructure can handle the added load without compromising resilience or increasing costs,” Saeed advises. “They should also require that data centers use renewable energy or invest in local clean energy projects.”

Training and hiring local workers is another key benefit communities can demand. “Deployment and maintenance of data centers require skilled workers,” Saeed adds. “Operators should invest in technical training and hire locally.”

Policy Can Make the Difference

Stronger policy frameworks can ensure growth doesn’t come at the expense of Georgia’s most vulnerable communities. “We need more transparency from companies about their energy and water use,” says Brown. “And we need policies that prevent the costs of supporting large consumers from being passed on to residential ratepayers.”

Some states are already taking action. Texas passed a bill to give regulators more control over large power consumers. In Georgia, a bill that would have paused tax breaks for data centers until their community impact was assessed was vetoed — but experts say the conversation is far from over.

“Data centers are here to stay,” says Saeed. “The question is whether we can make them sustainable — before their footprint becomes too large to manage.”

As electric vehicles and renewable energy storage become central to the global energy transition, the battery supply chain is under more pressure than ever. In 2024, global battery demand surpassed 1 terawatt-hour, equal to powering 100 million homes for an hour, according to the International Energy Agency. But while demand is booming, the infrastructure to meet it — especially in the U.S. — is still catching up. 

Hosted by the Center for Critical Mineral Solutions and Strategic Energy Institute at Georgia Tech in partnership with the Middle Georgia Regional Commission, GEMs-3 highlighted the economic development potential of critical minerals through production and recycling. Critical Minerals such as rare earth elements, gallium, and graphite are materials essential for technologies ranging from electric vehicles, permanent magnets to national defense systems. Building on the industry-led conception of GEMs-1 and road mapping efforts at GEMs-2, this workshop focused on translating strategy into action, with particular emphasis on use-inspired innovation, commercialization, workforce development, community engagement, and strategic investment. 

Keynote speaker Costas Simoglou, director of the Center of Innovation for Energy Technology at the Georgia Department of Economic Development, emphasized the state’s leadership in advanced energy manufacturing and innovation. Sessions highlighted ecosystem capabilities and insights from experts at Southern Company, Chemours, Ginn Technology Group, Savannah River National Laboratory, Georgia Research Alliance, Georgia Cleantech Innovation Hub, Georgia Artificial Intelligence in Manufacturing, Technical College System of Georgia, University of Georgia, Partnership for Innovation, the Supply Chain and Logistics Institute, and the Advanced Battery Center.

Yuanzhi Tang, professor at Georgia Tech and director of the Center for Critical Mineral Solutions, shared an update on the GRACE Engine initiative, which aims to develop a co-located innovation ecosystem that integrates extraction, processing and advanced manufacturing across Georgia. “The GRACE vision is to move from potential to practice,” said Tang, “by building a regional supply chain that is resilient, sustainable, built for speed and benefits all stakeholders.”

Afternoon breakout discussions brought participants together into focused groups to explore commercialization models, community advisory board structures, and pilot program priorities. Participants emphasized the importance of fast-start strategies, shared economic development, and leveraging existing regional strengths and infrastructure.

As Georgia continues to lead in kaolin mining and advanced manufacturing, the GEMs-GRACE platform stands as a model for how states can turn mineral resources and waste streams into new engines of economic opportunity.

For more information, visit gems.research.gatech.edu.

Wang is a recipient of the 2025 Outstanding Dissertation Award from the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI). The award recognizes Wang for his lifelong work on democratizing human-centered AI.

“Throughout my Ph.D. and industry internships, I observed a gap in existing research: there is a strong need for practical tools for applying human-centered approaches when designing AI systems,” said Wang, now a safety researcher at OpenAI.

“My work not only helps people understand AI and guide its behavior but also provides user-friendly tools that fit into existing workflows.”

[Related: Georgia Tech College of Computing Swarms to Yokohama, Japan, for CHI 2025]

Wang’s dissertation presented techniques in visual explanation and interactive guidance to align AI models with user knowledge and values. The work culminated from years of research, fellowship support, and internships.

Wang’s most influential projects formed the core of his dissertation. These included:

• CNN Explainer: an open-source tool developed for deep-learning beginners. Since its release in July 2020, more than 436,000 global visitors have used the tool.
• DiffusionDB: a first-of-its-kind large-scale dataset that lays a foundation to help people better understand generative AI. This work could lead to new research in detecting deepfakes and designing human-AI interaction tools to help people more easily use these models.
• GAM Changer: an interface that empowers users in healthcare, finance, or other domains to edit ML models to include knowledge and values specific to their domain, which improves reliability.
• GAM Coach: an interactive ML tool that could help people who have been rejected for a loan by automatically letting an applicant know what is needed for them to receive loan approval.
• Farsight: a tool that alerts developers when they write prompts in large language models that could be harmful and misused.  

“I feel extremely honored and lucky to receive this award, and I am deeply grateful to many who have supported me along the way, including Polo, mentors, collaborators, and friends,” said Wang, who was advised by School of Computational Science and Engineering (CSE) Professor Polo Chau.

“This recognition also inspired me to continue striving to design and develop easy-to-use tools that help everyone to easily interact with AI systems.”

Like Wang, Chau advised Georgia Tech alumnus Fred Hohman (Ph.D. CSE 2020). Hohman won the ACM SIGCHI Outstanding Dissertation Award in 2022.

Chau’s group synthesizes machine learning (ML) and visualization techniques into scalable, interactive, and trustworthy tools. These tools increase understanding and interaction with large-scale data and ML models. 

Chau is the associate director of corporate relations for the Machine Learning Center at Georgia Tech. Wang called the School of CSE his home unit while a student in the ML program under Chau.

Wang is one of five recipients of this year’s award to be presented at the 2025 Conference on Human Factors in Computing Systems (CHI 2025). The conference occurs April 25-May 1 in Yokohama, Japan. 

SIGCHI is the world’s largest association of human-computer interaction professionals and practitioners. The group sponsors or co-sponsors 26 conferences, including CHI.

Wang’s outstanding dissertation award is the latest recognition of a career decorated with achievement.

Months after graduating from Georgia Tech, Forbes named Wang to its 30 Under 30 in Science for 2025 for his dissertation. Wang was one of 15 Yellow Jackets included in nine different 30 Under 30 lists and the only Georgia Tech-affiliated individual on the 30 Under 30 in Science list.

While a Georgia Tech student, Wang earned recognition from big names in business and technology. He received the Apple Scholars in AI/ML Ph.D. Fellowship in 2023 and was in the 2022 cohort of the J.P. Morgan AI Ph.D. Fellowships Program.

Along with the CHI award, Wang’s dissertation earned him awards this year at banquets across campus. The Georgia Tech chapter of Sigma Xi presented Wang with the Best Ph.D. Thesis Award. He also received the College of Computing’s Outstanding Dissertation Award.

“Georgia Tech attracts many great minds, and I’m glad that some, like Jay, chose to join our group,” Chau said. “It has been a joy to work alongside them and witness the many wonderful things they have accomplished, and with many more to come in their careers.”

To be more precise, it’s a liquid cooling system developed at Georgia Tech for electronics aimed at solving a long-standing problem: overheating.

Developed by Daniel Lorenzini, a 2019 Tech graduate who earned his Ph.D. in mechanical engineering, the cooling system uses microfluidic channels — tiny, intricate pathways for liquids — that are embedded within the chip packaging.

He worked with VentureLab, a Tech program in the Office of Commercialization, to spin his research into a startup company, EMCOOL, headquartered in Norcross.

“Our solution directly addresses the heat at the source of the silicon chip and therefore makes it faster,” Lorenzini said. “Our design has our system sitting directly on the silicon chips that generate the most heat. Using the fluids in the micro-pin fins, it carries the heat that’s produced away from the chip.”

That cooling solution is directly integrated into the electronic components, making it significantly more efficient than conventional cooling methods, because it enhances the heat dissipation process.

The result is a much lower risk of overheating and reduced power consumption, he said.

Lorenzini, who researched and refined the technology in the lab of Yogendra Joshi at the George W. Woodruff School of Mechanical Engineering, was awarded a patent for the technology in September 2024.

Now, EMCOOL, which has five empoloyees, is actively pursuing venture capital funding to scale its technology and address the escalating thermal management challenges posed by AI processors in modern data centers.

The system uses a cooling block with tiny, pin-like fins on one side and a special thermal interface material on the other. There's also a junction attached to the block, with ports for the fluid to flow in and out. The cooling fluid moves through the micro-pin fins and helps to carry away the heat.

Since the ports are designed to match the shape of the fins, it ensures that the fluid flows efficiently and the heat is dissipated as effectively as possible at chip-scale. 

As electronic devices — from high-performance personal computers to data centers used for artificial intelligence processing — become more powerful, they generate more heat. This excess heat can damage components or cause the device to underperform.

Traditional cooling methods, which include fans or heat sinks, often struggle to keep pace with the increasing demands of the newer model electronics. Lorenzini’s microfluidic system addresses the challenge of overheating with his patented, more effective, compact, and integrated cooling solution.

With the guidance of Jonathan Goldman, director of Quadrant-i in Tech’s Office of Commercialization, Lorenzini secured grant funding through the National Science Foundation and the Georgia Research Alliance to further the research and build design prototypes.

“We immediately had the sense there was commercial potential here,” Goldman said. “Thermal management, or getting rid of heat, is a ubiquitous problem in the computer industry, so when we saw what Daniel was doing, we immediately began to engage with him to understand what the commercial potential was.”

Indeed, the initial focus for the technology was the $159 billion global electronic gaming market. Gamers need a lot of computing power, which generates a lot of heat, causing lag.

But beyond gaming systems, the company, which manufactures custom cooling blocks and kits at its Norcross facility, is eyeing more sectors, which also suffer from overheating, Goldman said.

The technology addresses similar overheating electronics challenges in high-performance computing, telecommunications, and energy systems.

“This work propels us forward in pushing the boundaries of what traditional cooling technologies can achieve because by harnessing the power of microfluidics, EMCOOL's systems offer a compact and energy-efficient way to manage heat,” Goldman said. “This has the potential to revolutionize industries reliant on high-performance computing, where heat management is a constant challenge.”

Georgia Tech’s Space Exploration and Analysis Laboratory (SEAL) has developed new algorithms that are headed to the Moon, as part of the Intuitive Machine’s IM-2 mission. The mission is sending a Nova-C class lunar lander named Athena to the Moon’s south pole region to test technologies and collect data that aim to enable future exploration. The mission is part of NASA’s Commercial Lunar Payload Services (CLPS) initiative.

The demand for electricity to power AI data centers is skyrocketing, placing immense pressure on traditional energy sources.  

Researchers from the School of Computational Science and Engineering (CSE) created the Large Pre-Trained Time-Series Model (LPTM) framework. LPTM is a single foundational model that completes forecasting tasks across a broad range of domains. 

Along with performing as well or better than models purpose-built for their applications, LPTM requires 40% less data and 50% less training time than current baselines. In some cases, LPTM can be deployed without any training data.

The key to LPTM is that it is pre-trained on datasets from different industries like healthcare, transportation, and energy. The Georgia Tech group created an adaptive segmentation module to make effective use of these vastly different datasets.

The Georgia Tech researchers will present LPTM in Vancouver, British Columbia, Canada, at the 2024 Conference on Neural Information Processing Systems (NeurIPS 2024). NeurIPS is one of the world’s most prestigious conferences on artificial intelligence (AI) and ML research.

“The foundational model paradigm started with text and image, but people haven’t explored time-series tasks yet because those were considered too diverse across domains,” said B. Aditya Prakash, one of LPTM’s developers. 

“Our work is a pioneer in this new area of exploration where only few attempts have been made so far.”

[MICROSITE: Georgia Tech at NeurIPS 2024]

Foundational models are trained with data from different fields, making them powerful tools when assigned tasks. Foundational models drive GPT, DALL-E, and other popular generative AI platforms used today. LPTM is different though because it is geared toward time-series, not text and image generation.  

The Georgia Tech researchers trained LPTM on data ranging from epidemics, macroeconomics, power consumption, traffic and transportation, stock markets, and human motion and behavioral datasets.

After training, the group pitted LPTM against 17 other models to make forecasts as close to nine real-case benchmarks. LPTM performed the best on five datasets and placed second on the other four.

The nine benchmarks contained data from real-world collections. These included the spread of influenza in the U.S. and Japan, electricity, traffic, and taxi demand in New York, and financial markets.   

The competitor models were purpose-built for their fields. While each model performed well on one or two benchmarks closest to its designed purpose, the models ranked in the middle or bottom on others.

In another experiment, the Georgia Tech group tested LPTM against seven baseline models on the same nine benchmarks in zero-shot forecasting tasks. Zero-shot means the model is used out of the box and not given any specific guidance during training. LPTM outperformed every model across all benchmarks in this trial.

LPTM performed consistently as a top-runner on all nine benchmarks, demonstrating the model’s potential to achieve superior forecasting results across multiple applications with less and resources.

“Our model also goes beyond forecasting and helps accomplish other tasks,” said Prakash, an associate professor in the School of CSE. 

“Classification is a useful time-series task that allows us to understand the nature of the time-series and label whether that time-series is something we understand or is new.”

One reason traditional models are custom-built to their purpose is that fields differ in reporting frequency and trends. 

For example, epidemic data is often reported weekly and goes through seasonal peaks with occasional outbreaks. Economic data is captured quarterly and typically remains consistent and monotone over time. 

LPTM’s adaptive segmentation module allows it to overcome these timing differences across datasets. When LPTM receives a dataset, the module breaks data into segments of different sizes. Then, it scores all possible ways to segment data and chooses the easiest segment from which to learn useful patterns.

LPTM’s performance, enhanced through the innovation of adaptive segmentation, earned the model acceptance to NeurIPS 2024 for presentation. NeurIPS is one of three primary international conferences on high-impact research in AI and ML. NeurIPS 2024 occurs Dec. 10-15.

Ph.D. student Harshavardhan Kamarthi partnered with Prakash, his advisor, on LPTM. The duo are among the 162 Georgia Tech researchers presenting over 80 papers at the conference. 

Prakash is one of 46 Georgia Tech faculty with research accepted at NeurIPS 2024. Nine School of CSE faculty members, nearly one-third of the body, are authors or co-authors of 17 papers accepted at the conference. 

Along with sharing their research at NeurIPS 2024, Prakash and Kamarthi released an open-source library of foundational time-series modules that data scientists can use in their applications.

“Given the interest in AI from all walks of life, including business, social, and research and development sectors, a lot of work has been done and thousands of strong papers are submitted to the main AI conferences,” Prakash said. 

“Acceptance of our paper speaks to the quality of the work and its potential to advance foundational methodology, and we hope to share that with a larger audience.”

Terracell is roughly the size of a paperback book and uses microbes found in soil to generate energy for low-power applications. 

Previous designs for soil microbial fuel cells required water submergence or saturated soil. Terracell can function in soil with a volumetric water content of 42%

Terracell placed in Fast Company’s list of the best sustainability-focused designs of 2024.

Researchers at Northwestern University lead the multi-institution research team that designed Terracell.

Josiah Hester, an associate professor in Georgia Tech's School of Interactive Computing who previously worked at Northwestern, directs the Ka Moamoa Lab, where the project was conceived. 

The team includes researchers from Northwestern, Georgia Tech, Stanford, the University of California-San Diego, and the University of California-Santa Cruz.

Their research was published in January in the Proceedings of the Association for Computing Machinery on Interactive, Mobile, Wearable, and Ubiquitous Technologies. The researchers will also present this work at the ACM international joint conference on Pervasive and Ubiquitous Computing (Ubicomp), Oct. 5-9.

According to the Fast Company website, the Innovation by Design Awards recognize “designers and businesses solving the most crucial problems of today and anticipating the pressing issues of tomorrow.” Winners are published in Fast Company Magazine and are honored at the Fast Company Innovation Festival in the fall.

“Terracell could reduce e-waste and extend the useful lifetime of electronics deployed for agriculture, environmental monitoring, and smart cities,” Hester said. “We were honored to be recognized for the design innovation award. It is a testament to the promise of sustainable computing and our hope for a more sustainable world.”

For more information about Terracell, see the story featured on Northwestern Now, or visit the project’s website.

The Department of Energy has funded these early career awards since 2010, and this year distributed $138 million to 91 scientists nationwide. These awards are critical to DOE’s long-standing efforts to develop the next generation of STEM leaders and solidify America’s role as the driver of science and innovation. 

“Investing in cutting-edge research and science is a cornerstone of DOE's mission and essential to maintaining America’s role as a global innovation leader,” said U.S. Secretary of Energy Jennifer M. Granholm.

Itamar Kimchi

Kimchi’s research in quantum theory explores the role of entanglement in strongly correlated quantum materials, which have potential applications in quantum computers, sensors, and solid-state devices. His work addresses the challenges posed by defects and quenched disorder in these materials. 

Kimchi’s project aims to construct theoretical models to describe novel behaviors, particularly in quantum spin liquid (QSL) phases of magnetic insulators. The research seeks to demonstrate the transformation of QSLs from weak disorder, predict defect effects in QSLs, and collaborate with experimental labs to address the dichotomy between global and local experimental probes in materials with local defects.

The ECRP award will support Kimchi’s efforts to develop theoretical frameworks that guide new concepts and experimental probes — and to uncover how crystallographic defects can identify, generate, and control emergent quantum behavior, contributing to next-generation technologies for energy applications.

“Quantum sciences and technologies are becoming increasingly important for U.S. interests, as seen in the National Quantum Initiative, the CHIPS and Science Act, and other efforts,” said Kimchi. “Together with my research group, we are delighted to be supported by the Department of Energy and to join its extraordinary network of researchers, which enables us to pursue these challenges in understanding and using quantum materials.” 

Sourabh Saha

Saha’s research focuses on generating novel, advanced manufacturing capabilities that will massively reduce the cost of fabricating fuel capsules for inertial fusion energy. Nuclear fusion is the mechanism that powers the sun and generates the sunlight received on Earth. Fusion can be a clean, safe, abundant, and reliable source of electricity, but controlling it on Earth is a major challenge. 

Inertial fusion is one way to achieve and control fusion. This requires holding the nuclear fuel within pea-sized capsules, called targets, that are manufactured to extreme precision. For fusion to be a cost-effective source of electricity, the expense of producing these fuel capsules must be reduced from tens of thousands of dollars to less than a dollar. This is where Saha’s work lies: in enabling new ways of making the fuel capsules, cost-effectively and precisely.    

The ECRP award will allow Saha to focus on advancing the scientific knowledge base for scalable manufacturing of fusion targets. Generally, manufacturing scale-up is perceived as a late-stage engineering activity that can be postponed until a technology’s scientific underpinnings have been determined. But this perception has also often led to the underfunding of manufacturing science research. 

Saha believes that to solve many of engineering’s current grand challenges, the science of manufacturing scale-up should be considered early on — and in concert with researching other aspects of a technology. 

“The DOE award allows our group to do precisely this kind of research in the area of fusion energy. I am humbled to be able to work on one of the most challenging but worthwhile problems of our time,” Saha said.

Early Career Program awardees in this round of funding were required to be an untenured assistant or associate professor on the tenure track at a U.S. academic institution, or a full-time employee at a DOE national laboratory or Office of Science user facility who received their Ph.D. within the past 12 years. A list of the 91 recipients, their institutions, and the titles of their research projects is available on the ECRP website.

Previous Recipients of DOE Early Career Grants

Wenjing Lao, associate professor, School of Mathematics

Ryan Lively, Thomas C. DeLoach Professor, School of Chemical & Biomolecular Engineering

Devesh Ranjan, Eugene C. Gwaltney Jr. School Chair and professor, Woodruff School of Mechanical Engineering

“For a long time, people have been looking for a lower-cost, more sustainable alternative to existing cathode materials. I think we’ve got one,” said Chen, an associate professor with appointments in the George W. Woodruff School of Mechanical Engineering and the School of Materials Science and Engineering.

The revolutionary material, iron chloride (FeCl3), costs a mere 1-2% of typical cathode materials and canstore the same amount of electricity. Cathode materials affect capacity, energy, and efficiency, playing a major role in a battery’s performance, lifespan, and affordability.

“Our cathode can be a game-changer,” said Chen, whose team describes its work in Nature Sustainability. “It would greatly improve the EV market — and the whole lithium-ion battery market.”

First commercialized by Sony in the early 1990s, LIBs sparked an explosion in personal electronics, like smartphones and tablets. The technology eventually advanced to fuel electric vehicles, providing a reliable, rechargeable, high-density energy source. But unlike personal electronics, large-scale energy users like EVs are especially sensitive to the cost of LIBs. 

Batteries are currently responsible for about 50% of an EV’s total cost, which makes these clean-energy cars more expensive than their internal combustion, greenhouse-gas-spewing cousins. The Chen team’s invention could change that.

Building a Better Battery

Compared to old-fashioned alkaline and lead-acid batteries, LIBs store more energy in a smaller package and power a device longer between charges. But LIBs contain expensive metals, including semiprecious elements like cobalt and nickel, and they have a high manufacturing cost. 

So far, only four types of cathodes have been successfully commercialized for LIBs. Chen’s would be the fifth, and it would represent a big step forward in battery technology: the development of an all-solid-state LIB.

Conventional LIBs use liquid electrolytes to transport lithium ions for storing and releasing energy. They have hard limits on how much energy can be stored, and they can leak and catch fire. But all-solid-state LIBs use solid electrolytes, dramatically boosting a battery’s efficiency and reliability and making it safer and capable of holding more energy. These batteries, still in the development and testing phase, would be a considerable improvement. 

As researchers and manufacturers across the planet race to make all-solid-state technology practical, Chen and his collaborators have developed an affordable and sustainable solution. With the FeCl3 cathode, a solid electrolyte, and a lithium metal anode, the cost of their whole battery system is 30-40% of current LIBs. 

“This could not only make EVs much cheaper than internal combustion cars, but it provides a new and promising form of large-scale energy storage, enhancing the resilience of the electrical grid,” Chen said. “In addition, our cathode would greatly improve the sustainability and supply chain stability of the EV market.”

Solid Start to New Discovery

Chen’s interest in FeCl3 as a cathode material originated with his lab’s research into solid electrolyte materials. Starting in 2019, his lab tried to make solid-state batteries using chloride-based solid electrolyteswith traditional commercial oxide-based cathodes. It didn’t go well — the cathode and electrolyte materials didn’t get along. 

The researchers thought a chloride-based cathode could provide a better pairing with the chloride electrolyte to offer better battery performance.

“We found a candidate (FeCl3) worth trying, as its crystal structure is potentially suitable for storing and transporting Li ions, and fortunately, it functioned as we expected,” said Chen.

Currently, the most popularly used cathodes in EVs are oxides and require a gigantic amount of costly nickel and cobalt, heavy elements that can be toxic and pose an environmental challenge. In contrast, the Chen team’s cathode contains only iron (Fe) and chlorine (Cl)—abundant, affordable, widely used elements found in steel and table salt.

In their initial tests, FeCl3 was found to perform as well as or better than the other, much more expensive cathodes. For example, it has a higher operational voltage than the popularly used cathode LiFePO4 (lithium iron phosphate, or LFP), which is the electrical force a battery provides when connected to a device, similar to water pressure from a garden hose. 

This technology may be less than five years from commercial viability in EVs. For now, the team will continue investigating FeCl3 and related materials, according to Chen. The work was led by Chen and postdoc Zhantao Liu (the lead author of the study). Collaborators included researchers from Georgia Tech’s Woodruff School (Ting Zhu) and the School of Earth and Atmospheric Sciences (Yuanzhi Tang), as well as the Oak Ridge National Laboratory (Jue Liu) and the University of Houston (Shuo Chen).

“We want to make the materials as perfect as possible in the lab and understand the underlying functioning mechanisms,” Chen said. “But we are open to opportunities to scale up the technology and push it toward commercial applications.”

CITATION: Zhantao Liu, Jue Liu, Simin Zhao, Sangni Xun, Paul Byaruhanga, Shuo Chen, Yuanzhi Tang, Ting Zhu, Hailong Chen. “Low-cost iron trichloride cathode for all-solid-state lithium-ion batteries.” Nature Sustainability.

FUNDING: National Science Foundation (Grant Nos. 1706723 and 2108688)

A new agreement between Los Alamos National Laboratory (LANL) and the National Science Foundation’s Artificial Intelligence Institute for Advances in Optimization (AI4OPT) at Georgia Tech is set to propel research in applied artificial intelligence (AI) and engage students and professionals in this rapidly growing field.

“This collaboration will help develop new AI technologies for the next generation of scientific discovery and the design of complex systems and the control of engineered systems,” said Russell Bent, scientist at Los Alamos. “At Los Alamos, we have a lot of interest in optimizing complex systems. We see an opportunity with AI to enhance system resilience and efficiency in the face of climate change, extreme events, and other challenges.”

The agreement establishes a research and educational partnership focused on advancing AI tools for a next-generation power grid. Maintaining and optimizing the energy grid involves extensive computation, and AI-informed approaches, including modeling, could address power-grid issues more effectively.

AI Approaches to Optimization and Problem-Solving

Optimization involves finding solutions that utilize resources effectively and efficiently. This research partnership will leverage Georgia Tech's expertise to develop “trustworthy foundation models” that, by incorporating AI, reduce the vast computing resources needed for solving complex problems.

In energy grid systems, optimization involves quickly sorting through possibilities and resources to deliver immediate solutions during a power-distribution crisis. The research will develop “optimization proxies” that extend current methods by incorporating broader parameters such as generator limits, line ratings, and grid topologies. Training these proxies with AI for energy applications presents a significant research challenge.

The collaboration will also address problems related to LANL’s diverse missions and applications. The team’s research will advance pioneering efforts in graph-based, physics-informed machine learning to solve Laboratory mission problems.

Outreach and Training Opportunities

In January 2025, the Laboratory will host a Grid Science Winter School and Conference, featuring lectures from LANL scientists and academic partners on electrical grid methods and techniques. With Georgia Tech as a co-organizer, AI optimization for the energy grid will be a focal point of the event.

Since 2020, the Laboratory has been working with Georgia Tech on energy grid projects. AI4OPT, which includes several industrial and academic partners, aims to achieve breakthroughs by combining AI and mathematical optimization.

“The use-inspired research in AI4OPT addresses fundamental societal and technological challenges,” said Pascal Van Hentenryck, AI4OPT director. “The energy grid is crucial to our daily lives. Our collaboration with Los Alamos advances a research mission and educational vision with significant impact for science and society.”

The three-year agreement, funded through the Laboratory Directed Research and Development program’s ArtIMis initiative, runs through 2027. It supports the Laboratory’s commitment to advancing AI. Earl Lawrence is the project’s principal investigator, with Diane Oyen and Emily Castleton joining Bent as co-principal investigators.

Bent, Castleton, Lawrence, and Oyen are also members of the AI Council at the Laboratory. The AI Council helps the Lab navigate the evolving AI landscape, build investment capacities, and forge industry and academic partnerships.

As highlighted in the Department of Energy’s Frontiers in Artificial Intelligence for Science, Security, and Technology (FASST) initiative, AI technologies will significantly enhance the contributions of laboratories to national missions. This partnership with Georgia Tech through AI4OPT is a key step towards that future.

“This IAC is a great example of the ways in which Georgia Tech is serving all of Georgia and the Southeast,” said Tim Lieuwen, executive director of Georgia Tech’s Strategic Energy Institute (SEI) and Regents’ Professor and holder of the David S. Lewis, Jr. Chair in the Daniel Guggenheim School of Aerospace Engineering.

“We support numerous small and medium-sized enterprises in rural, suburban, and urban areas, bringing the technical expertise of Georgia Tech to bear in solving real-world problems faced by our small businesses.”

Georgia Tech’s IAC, which serves Georgia, South Carolina, and North Florida, is administered jointly by the George W. Woodruff School of Mechanical Engineering and the Georgia Manufacturing Extension Partnership (GaMEP), part of the Enterprise Innovation Institute (EI2). The organization has performed thousands of assessments since its inception in the 1980s – usually at the rate of 15 to 20 per year – and typically identifies upwards of 10% in energy savings for clients.

The assessment team, overseen by IAC associate director Kelly Grissom, comprises faculty and student engineers from Georgia Tech and the Florida A&M University/Florida State University College of Engineering.

In addition, Georgia Tech leads the Southeastern IACs Center of Excellence, which partners the institution with fellow University System of Georgia (USG) entity Kennesaw State University, local HBCU Clark Atlanta University, and neighboring state capital HBCU Florida A&M University.

Although mechanical engineering has historically been the chief area of concentration for IAC’s interns, the program currently accepts students across a range of disciplines. “Increased diversity from that standpoint enriches the potential of the recommendations we can make,” said Grissom.

Students are integral to the program, as is Grissom’s role in facilitating their experiences with client engagement and technical recommendations.

“Kelly is the reason our program has been recognized,” said Randy Green, energy and sustainability services group manager at GaMEP. “He works tirelessly to ensure that assessments are accomplished with success for our manufacturers and students.”

“We also recognize our partnership with the Woodruff School of Mechanical Engineering and with IAC program lead Comas Haynes, Ph.D., who works diligently to keep us on track and connected with our sponsors at the U.S. Department of Energy,” Green added.

The DoE accolade represents “a ‘one Georgia Tech’ win,” symbolic of the synergistic relationships forged across the Institute, said Haynes, who also serves as the Hydrogen Initiative Lead at Georgia Tech’s Strategic Energy Institute (SEI) and Energy branch head in the Intelligent Sustainable Technologies Division at the Georgia Tech Research Institute. Haynes specifically cited Green’s “technical prowess and managerial oversight” as another key to the IAC program’s success.

Said Devesh Ranjan, Eugene C. Gwaltney, Jr. School Chair and professor in the George W. Woodruff School of Mechanical Engineering, “It is truly an honor for Georgia Tech to be named the Department of Energy Industrial (Training and) Assessment Center of the Year. Clean energy and manufacturing have been a focus for the Institute and the Woodruff School for a long time, and GTRI, EI2, and SEI have collaboratively done phenomenal work in helping manufacturers save energy, improve productivity, and reduce waste.”

To check eligibility and apply for assistance from Georgia Tech’s IAC, click here.

Lieuwen is a Regents’ Professor, the David S. Lewis, Jr. Chair in the Daniel Guggenheim School of Aerospace Engineering, and executive director of the Strategic Energy Institute. His research interests range from clean energy and propulsion systems to energy policy, national security, and regional economic development. He works closely with industry and government to address fundamental problems and identify solutions in the development of clean energy systems and alternative fuels. 

A proud Georgia Tech alumnus, Lieuwen (M.S. ME 1997, Ph.D. ME 1999) has had a remarkable academic career. He is a member of the National Academy of Engineering and is a fellow of the American Society of Mechanical Engineers, the American Institute of Aeronautics and Astronautics, the American Physical Society, the Combustion Institute, and the Indian National Academy of Engineering (foreign fellow). He has received numerous awards, including the ASME George Westinghouse Gold Medal and the AIAA Pendray Award. He serves on governing or advisory boards of three Department of Energy national labs: Oak Ridge National Laboratory, Pacific Northwest National Laboratory, and the National Renewable Energy Laboratory and was appointed by the U.S. Secretary of Energy to the National Petroleum Council. 

Lieuwen has authored or edited four books on combustion and over 400 scientific publications. He also holds nine patents, several of which are licensed to industry, and is founder of an energy analytics company, Turbine Logic, where he acts as chief technology officer.

In Lieuwen’s appointment announcement, President Cabrera said, “Tim’s extensive experience and knowledge of Georgia Tech makes him uniquely suited to lead our research enterprise as we search for a permanent EVPR. I am grateful for his willingness to serve the Institute during this period of remarkable growth, and I look forward to working with him and the rest of the team.”

The funding is part of DOE’s Energy Future Grants program, and the Atlanta-Decatur-Savannah partners will receive $500,000 during the planning phase to develop initiatives, policies, and tools to promote green energy deployment in their communities. In total, the grants will provide $27 million in financial and technical assistance to support strategies that increase resiliency and improve access to affordable clean energy. The team will compete with other recipients for additional funding in subsequent phases of the program.

The Georgia Energyshed (G-SHED) team, led by Richard Simmons of the Strategic Energy Institute, will partner with the tri-city team in this project. The modeling and simulation-driven analysis from G-SHED will be used by the Tri-City Alliance project to develop deployment-ready blueprints of clean energy innovations focused on community benefits.

The G-SHED team, formed through another DOE grant, is developing a metropolitan energy planning organization informed by an integrated modeling effort that includes technical, social, and community inputs. Georgia Tech is collaborating with the Atlanta Regional Commission and the Southface Institute in this project. 

Granholm said announcing the funding at Georgia Tech was fitting because its tools “are going to be magnificent for this project for communities to decide the best path for them based on data.” Atlanta Mayor Andrew Dickens, U.S. Rep. Nikema Williams, and several other dignitaries were present during the announcement. Secretary Granholm toured parts of the Georgia Tech campus including the Carbon Neutral Energy Solutions building during her visit.

“It’s exciting when the Secretary of Energy makes a special trip to campus to announce a new Award. I appreciate Secretary Granholm and the Department of Energy for enabling this innovative energy partnership with Atlanta, Decatur, and Savannah,” said Tim Lieuwen, executive director of the Strategic Energy Institute.