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physics.chem-ph2025
Performing Path Integral Molecular Dynamics Using Artificial Intelligence Enhanced Molecular Simulation Framework
Cheng Fan, Maodong Li, Sihao Yuan +4
This study employed an artificial intelligence-enhanced molecular simulation framework to enable efficient Path Integral Molecular Dynamics (PIMD) simulations. Owing to its modular…
physics.chem-ph2020★ 42 cited
Deep Reinforcement Learning of Transition States
Jun Zhang, Yao-Kun Lei, Zhen Zhang +5
Combining reinforcement learning (RL) and molecular dynamics (MD) simulations, we propose a machine-learning approach (RL) to automatically unravel chemical reaction mechanisms…