  In Hamiltonian mechanics and the Landau theory, many physical phenomena are
modeled using energy. In this paper, we prove the universal approximation
property of neural network models for such physical phenomena. We also discuss
behaviors of the models for integrable Hamiltonian systems when the loss
function does not vanish completely by applying the KAM theory.
