Phase Space Integrity in Neural Network Models of Hamiltonian Dynamics: A Lagrangian Descriptor Approach
This research introduces Lagrangian Descriptors as a rigorous diagnostic framework to evaluate the global geometric integrity of neural networks modeling Ham...