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

This paper introduces PRISMat, a cost-effective, permutation-invariant model designed for the rapid identification of candidate materials. It addresses the inefficiencies of large language models in material generation by offering a faster and cheaper alternative for material filtering.