Discovering Reaction Mechanisms with Transition Path Sampling-Based Active Learning of Machine-Learned Potentials

Ashique Lal, Rik S. Breebaart, Peter G. Bolhuis +1

Machine-learned interatomic potentials (MLPs) provide near density functional theory (DFT) accuracy at reduced computational cost, but their reliability depends on representative t…