Active learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt

Abstract

Uncertainty-aware machine learning models are used to automate the training of reactive force fields. The method is used here to simulate hydrogen turnover on a platinum surface with unprecedented accuracy.