Performance of universal machine learning potentials in global optimization of inorganic crystal structures

Edan T. Marcial, Laxman Chaudhary, Olesya Gorbunova +1

Rapid development of universal machine learning potentials (uMLPs) and expansion of training data sets are reshaping the state of the art in atomistic simulation, highlighting the…