Fast and flexible long-range models for atomistic machine learning

Philip Loche, Kevin K. Huguenin-Dumittan, Melika Honarmand +5

Most atomistic machine learning (ML) models rely on a locality ansatz, and decompose the energy into a sum of short-ranged, atom-centered contributions. This leads to clear limitat…