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 constrai