Communications Physics (Mar 2023)
Inverse Hamiltonian design by automatic differentiation
Abstract
Obtaining a Hamiltonian that produces desired physical properties is important in materials design, that is, however, a highly nontrivial process since the parameter space is usually unknown a priori. Here, the authors present a general theoretical framework based on the inverse problem that uses automatic differentiation to construct a Hamiltonian with the desired physical properties.