Probing reaction channels via reinforcement learning

no code implementations • 27 May 2023 • Senwei Liang, Aditya N. Singh, Yuanran Zhu, David T. Limmer, Chao Yang

We propose a reinforcement learning based method to identify important configurations that connect reactant and product states along chemical reaction paths.

reinforcement-learning