Exact Equivariance from Ordinary Neural Networks for Lattice Many-Body Dynamics
Quantum/Chemistry
Proposes using ordinary multilayer perceptrons with finite-group averaging to achieve exact equivariant surrogate models for correlated electron systems, enabling efficient force and transition energy evaluations.
New See LICENSE file Quantum Many-BodyEquivariant Neural NetworksElectronic Structure