Learning Inter-Atomic Potentials without Explicit Equivariance

Ahmed A. Elhag, Arun Raja, Alex Morehead +6

Accurate and scalable machine-learned inter-atomic potentials (MLIPs) are essential for molecular simulations ranging from drug discovery to new material design. Current state-of-t…