The Journal of Physical Chemistry Letters
Reinforcement learning for traversing chemical structure space: Optimizing transition states and minimum energy paths of molecules
In recent years, deep learning has made remarkable strides, surpassing human capabilities in tasks, such as strategy games, and it has found applications in complex domains, including protein folding. In the realm of quantum chemistry, machine learning methods have primarily served as predictive…