Phase space integrity in neural network models of Hamiltonian dynamics: A Lagrangian descriptor approach
arXiv:2604.00473v1 Announce Type: new
Abstract: We propose Lagrangian Descriptors (LDs) as a diagnostic framework for evaluating neural network models of Hamiltonian systems beyond conventional trajectory-based metrics. Standard error measures quantif…