Bilvin Varughese

Symbolic ensemble learning enables discovery of fast accurate physics-based interatomic potentials

Machine learning has transformed materials simulation by delivering force fields with ab initio accuracy, yet bridging the gap between high-dimensional regression and physical interpretability remains a grand challenge. Conventional analytical potentials offer transparency but of...