Convergence Acceleration in Machine Learning Potentials for Atomistic Simulations

Dylan Bayerl, Christopher M. Andolina, Shyam Dwaraknath +1

Machine learning potentials (MLPs) for atomistic simulations have an enormous prospective impact on materials modeling, offering orders of magnitude speedup over density functional…