Accelerating high-throughput searches for new alloys with active learning of interatomic potentials

Konstantin Gubaev, Evgeny V. Podryabinkin, Gus L. W. Hart +1

We propose an approach to materials prediction that uses a machine-learning interatomic potential to approximate quantum-mechanical energies and an active learning algorithm for th…