Hydrogen under Pressure as a Benchmark for Machine-Learning Interatomic Potentials

Thomas Bischoff, Bastian Jäckl, Matthias Rupp

Machine-learning interatomic potentials (MLPs) are fast, data-driven surrogate models of atomistic systems' potential energy surfaces that can accelerate ab-initio molecular dynami…