The webinar will explore the synthesis of machine learning with materials research, highlighting a broad spectrum of topics in which machine learning, artificial intelligence, or statistics play a significant role in addressing problems in experimental and theoretical materials science. It will also spur discussion on the fundamental connection between machine learning and materials science, and future applications and impact.
- Benji Maruyama, Air Force Research Laboratory, WPAFB
- Kristofer Reyes, Assistant Professor, Department of Materials Design and Innovation, University at Buffalo
- Carla Gomes, Cornell University
- Jason Hattrick-Simpers, National Institute of Standards and Technology (NIST)
Registration and information: https://mrs.digitellinc.com/mrs/live/132/page/606
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