Deep Reinforcement Learning for Inverse Inorganic Materials Design

no code implementations • 21 Oct 2022 • Elton Pan, Christopher Karpovich, Elsa Olivetti

A major obstacle to the realization of novel inorganic materials with desirable properties is the inability to perform efficient optimization across both materials properties and synthesis of those materials.

Formation Energy reinforcement-learning +1