{"676155":{"#nid":"676155","#data":{"type":"news","title":"LANL and Georgia Tech Partner for Advanced AI Research on Energy Grids","body":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EA new agreement between Los Alamos National Laboratory (LANL) and the National Science Foundation\u2019s 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.\u003C\/p\u003E\u003Cp\u003E\u201cThis 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,\u201d said Russell Bent, scientist at Los Alamos. \u201cAt 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.\u201d\u003C\/p\u003E\u003Cp\u003EThe 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.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAI Approaches to Optimization and Problem-Solving\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EOptimization involves finding solutions that utilize resources effectively and efficiently. This research partnership will leverage Georgia Tech\u0027s expertise to develop \u201ctrustworthy foundation models\u201d that, by incorporating AI, reduce the vast computing resources needed for solving complex problems.\u003C\/p\u003E\u003Cp\u003EIn energy grid systems, optimization involves quickly sorting through possibilities and resources to deliver immediate solutions during a power-distribution crisis. The research will develop \u201coptimization proxies\u201d 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.\u003C\/p\u003E\u003Cp\u003EThe collaboration will also address problems related to LANL\u2019s diverse missions and applications. The team\u2019s research will advance pioneering efforts in graph-based, physics-informed machine learning to solve Laboratory mission problems.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EOutreach and Training Opportunities\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIn January 2025, the Laboratory will host a \u003Ca href=\u0022https:\/\/web.cvent.com\/event\/30a7abad-62ae-489e-917f-4c842430403e\/summary\u0022\u003EGrid Science Winter School and Conference\u003C\/a\u003E, 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.\u003C\/p\u003E\u003Cp\u003ESince 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.\u003C\/p\u003E\u003Cp\u003E\u201cThe use-inspired research in AI4OPT addresses fundamental societal and technological challenges,\u201d said Pascal Van Hentenryck, AI4OPT director. \u201cThe 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.\u201d\u003C\/p\u003E\u003Cp\u003EThe three-year agreement, funded through the Laboratory Directed Research and Development program\u2019s ArtIMis initiative, runs through 2027. It supports the Laboratory\u2019s commitment to advancing AI. Earl Lawrence is the project\u2019s principal investigator, with Diane Oyen and Emily Castleton joining Bent as co-principal investigators.\u003C\/p\u003E\u003Cp\u003EBent, 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.\u003C\/p\u003E\u003Cp\u003EAs highlighted in the \u003Ca href=\u0022https:\/\/www.energy.gov\/articles\/doe-announces-roadmap-new-initiative-artificial-intelligence-science-security-and\u0022\u003EDepartment of Energy\u2019s Frontiers in Artificial Intelligence for Science, Security, and Technology (FASST) initiative\u003C\/a\u003E, 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.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":[{"value":"The agreement with AI4OPT will drive research and training on AI problem-solving"}],"field_summary":[{"value":"\u003Cp\u003EA new agreement between Los Alamos National Laboratory and AI4OPT at Georgia Tech will drive research in applied artificial intelligence and engage students and professionals in the burgeoning field.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Los Alamos National Laboratory and Georgia Tech\u0027s AI4OPT have partnered to advance research in applied AI and engage students and professionals in the field\u0027s future."}],"uid":"36348","created_gmt":"2024-08-21 18:20:28","changed_gmt":"2024-09-03 18:55:12","author":"Breon Martin","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-08-21T00:00:00-04:00","iso_date":"2024-08-21T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"674678":{"id":"674678","type":"image","title":"LANL teams with GT AI4OPT","body":null,"created":"1724264536","gmt_created":"2024-08-21 18:22:16","changed":"1724264536","gmt_changed":"2024-08-21 18:22:16","alt":"LANL teams with GT AI4OPT","file":{"fid":"258231","name":"LANL teams with GT AI4OPT.jpeg","image_path":"\/sites\/default\/files\/2024\/08\/21\/LANL%20teams%20with%20GT%20AI4OPT.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/08\/21\/LANL%20teams%20with%20GT%20AI4OPT.jpeg","mime":"image\/jpeg","size":575887,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/08\/21\/LANL%20teams%20with%20GT%20AI4OPT.jpeg?itok=4aHxlSn5"}}},"media_ids":["674678"],"related_links":[{"url":"https:\/\/discover.lanl.gov\/news\/0821-ai-energy-grid-research\/","title":"Laboratory teams with Georgia Institute of Technology for AI energy-grid research"}],"groups":[{"id":"1214","name":"News Room"},{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"144","name":"Energy"},{"id":"135","name":"Research"}],"keywords":[{"id":"188370","name":"AI4OPT"},{"id":"193212","name":"AI4OPT, Artifical Intelligence, Optimization"},{"id":"192863","name":"go-ai"},{"id":"187915","name":"go-researchnews"}],"core_research_areas":[{"id":"193655","name":"Artificial Intelligence at Georgia Tech"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBreon Martin\u003C\/p\u003E","format":"limited_html"}],"email":["breon@gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}