V. Shankar

Anisotropic representations for E(3)-equivariant machine learning coarse-grained potentials

A novel anisotropic machine learning CG potential is introduced that extends the point particle representation of atomic nuclei to massive ellipsoidal beads with orientation-dependent features, enabling the learning of energies, forces, and torques directly from atomistic data.