Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials

Cas van der Oord, Matthias Sachs, Dávid Péter Kovács +2

Data-driven interatomic potentials have emerged as a powerful class of surrogate models for {\it ab initio} potential energy surfaces that are able to reliably predict macroscopic…