Distilling first-principles accuracy into compact machine learning potentials for condensed-phase chemistry

Sijia Chen, Niamh O'Neill, Benjamin X. Shi +1

Accurate machine learning interatomic potentials (MLIPs) have made first-principles-quality potential energy surfaces increasingly accessible for condensed-phase chemistry, but the…