NIST Artificial Intelligence for Materials Science (AIMS) 2026
This work pursues a multi-tier development strategy in which machine learning (ML) algorithms are combined with exact physical symmetries and constraints to significantly accelerate computations of electronic structure and atomistic dynamics.
Michael Taylor
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