Symmetry- and Property-Aware Crystal Generation with Reinforcement Learning for Inverse Materials Design
The inverse design of crystalline materials ultimately seeks structures with desired physical properties. However, for many functional responses, a favorable numerical value is meaningful only when supported by the symmetry of the underlying crystal. Without the appropriate crystallographic constraints, an apparent res...
Ting-Wei Hsu, A. Bansil, Qi-Min Yan
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