Materials Innovation Lecture Series

Event Details
  • Date/Time:
    • Wednesday January 16, 2019
      2:00 pm - 3:00 pm
  • Location: Marcus Nanotechnology Building, Room 1117-1118, 345 Ferst Drive, NW Atlanta, GA 30318
  • Phone:
  • URL: Marcus Nanotechnology Building
  • Email:
  • Fee(s):
    N/A
  • Extras:
    Free food
Contact

Cecelia Jones - Administrative Manager

404-894-7769

Summaries

Summary Sentence: Join us as Taylor D. Sparks gives a talk on the promise, challenges, and opportunities that machine learning and big data affords material informatics.

Full Summary: No summary paragraph submitted.

Media
  • Taylor D. Sparks Taylor D. Sparks
    (image/jpeg)

The Promise, Challenges, and Opportunities in Materials Informatics

 
Taylor D. Sparks, Assistant Professor
Director of the Materials Characterization Lab 
Materials Science & Engineering, University of Utah

Abstract

Over 7 years ago the White House announced the Materials Genome Initiative (MGI) asking computational materials scientists and experimentalists to find ways to “discover, develop, manufacture, and deploy materials twice as fast at a fraction of the cost.” High throughput computation and experiments have made some progress but we are still far from the MGI goal. However, the emerging field of Materials Informatics offers a completely new and under-utilized approach via machine learning and big data approaches to materials problems. In this talk, I’ll describe the promise, challenges, and opportunities that this new approach affords materials scientists. Specifically, I describe some of the new data-driven tools we are developing in our group as well as tools developed in conjunction with Citrine Informatics such as the “Materials Recommendation Engine.” These tools allow us to reduce the risk associated with exploring chemical whitespace for new, interesting materials and enable rapid material discovery. I’ll demonstrate the utility of machine learning with specific examples in thermoelectrics, superhard materials, crystal structure classification, and thermochemical data prediction.

Biography

Dr. Sparks joined the Materials Science and Engineering Department at the University of Utah as an Assistant Professor in 2013. He is originally from Utah and an alumni of the department he now teaches in. Before graduate school he worked at Ceramatec Inc. on geopolymers, reaction bonded ceramics, and fuel cell insulation. He did his MS in Materials at UCSB and his PhD in Applied Physics at Harvard University in David Clarke’s laboratory and then did a postdoc with Ram Seshadri in the Materials Research Laboratory at UCSB. He is currently the Director of the Materials Characterization Lab at the University of Utah and teaches classes on ceramics, materials science, characterization, and technology commercialization. His current research centers on the discovery, synthesis, characterization, and properties of new materials for energy applications. He is a pioneer in the emerging field of materials informatics whereby big data, data mining, and machine learning are leveraged to solve challenges in materials science. He has assembled freely available web-based datasets and predictive tools for thermoelectrics, lithium ion batteries, and superhard materials which allow for simultaneous evaluation of performance alongside resource considerations including quantitative metrics of scarcity and availability.

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Additional Information

In Campus Calendar
Yes
Groups

Georgia Tech Materials Institute

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
No keywords were submitted.
Status
  • Created By: Farlenthia Walker
  • Workflow Status: Published
  • Created On: Oct 5, 2018 - 2:26pm
  • Last Updated: Dec 13, 2018 - 11:48am