PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation

Claire Schlesinger, Circe Hsu, Peter Schindler +1

Rapid identification of candidate materials with target properties has become a key task in materials science. Machine learning has emerged as an alternative to physics-based simul…