Machine Learning Potentials for Simulating Redox Chemistry in Solution: A Comparison of Second-Generation and Fourth-Generation Models

Fourth-generation machine learning potentials (MLPs), unlike previous generations, can accurately simulate redox reactions in solution by incorporating global charge distribution information, enabling the prediction of ion oxidation states and accurate solvent interactions.