Virtual Workshop on Artificial Intelligence for Accelerated Materials Design in Extreme Conditions
The Hopkins Extreme Materials Institute (HEMI) at Johns Hopkins University (JHU) would like to invite you to a virtual workshop of three half-days, focused on the development and utilization of artificial intelligence and machine learning algorithms for materials in extreme environments. Particular focus is on simulation methods that enable an accelerated discovery, design, and prediction paradigm as well as high-throughput mechanical testing and material characterization techniques of advanced materials.
Workshop Co-Chaired by:
Prof. Jaafar A. El-Awady (JHU)
Prof. Lori Graham-Brady (JHU)
SCHEDULE & TOPICS
This workshop will be held online from 12-5 PM ET on Wednesday, January 13 through Friday, January 15, 2021.
Click here to view the agenda.
Day 1 (Weds., January 13): Applications of Materials under Extreme Conditions
Day 2 (Thurs., January 14): Tools for Accelerated Material Discovery
Day 3 (Fri., January 15): High-throughput Experiments/Characterization
List of Speakers
- Prof. Raymundo Arróyave (Texas A&M)
- Dr. Federica Coppari (LLNL)
- Prof. Dana D. Dlott (Illinois)
- Dr. Rusty Gray (Los Alamos)
- Prof. Surya Kalidindi (GT)
- Prof. George Karniadakis (Brown)
- Dr. Rebecca Lindsey (LLNL)
- Prof. Alfred Ludwig (Bochum)
- Prof. Elizabeth J. Opila (UVA)
- Prof. Guruswami Ravichandran (Caltech)
- Prof. Tony Rollett (CMU)
- Prof. Christopher Schuh (MIT)
- Dr. Christopher Stiles (JHU APL)
- Prof. Ichiro Takeuchi (UMD)
- Prof. Christopher Wolverton (Northwestern)
Registration is closed.
Questions? Please contact Katie Vaught at [email protected].