Rem3Di: Learning smooth, chiral 3D molecular descriptors from atomistic foundation models

Steffen Wedig, Felix Burton, Rokas Elijošius +2

Foundation machine-learned interatomic potentials (MLIPs) are trained on large quantum-mechanical datasets and generalise across broad regions of chemical and configurational space…