Learning conditional policies for crystal design using offline reinforcement learning

Abstract

Conservative Q-learning for band-gap conditioned crystal design with DFT evaluations – the model is trained on trajectories constructed from crystals in the Materials Project. Results indicate promising performance for lower band gap targets.