Enhancing molecular dynamics with equivariant machine-learned densities

ArXi:2604.24563v1 Announce Type: cross Machine-learning interatomic potentials (MLIPs) have enabled molecular dynamics at near ab initio accuracy, yet remain limited to energies and forces by construction, leaving electronic observables such as dipole moments and polarizabilities inaccessible. We