Contrastive Regularization of Machine Learning Potentials

Dimitrios Tzivrailis, Georgios Sotiropoulos, Alberto Rosso +1

Machine learning interatomic potentials are trained to predict energies and forces but built to be sampled: their purpose is to drive molecular simulations whose observables averag…