Autonomous Transition State Search with Soft Actor-Critic Reinforcement Learning
A TS search model based on the soft actor-critic model, an advanced reinforcement learning algorithm in which an agent learns to navigate potential energy surfaces directly from local energetic and curvature information starting from a given reactant and its corresponding product is introduced.