Transferable Machine Learning of Electronic Hamiltonians with Superposition-of-Atomic-Potentials Features

Chaoqun Zhang, Christian Venturella, Enzhi Chen +1

Machine learning (ML) of electronic Hamiltonians offers a unified route to electronic wave functions and physical observables. We introduce a Hamiltonian learning framework built o…