Neural non-canonical Hamiltonian dynamics for long-time simulations

Clémentine Courtès, Emmanuel Franck, Michael Kraus +2

This work focuses on learning non-canonical Hamiltonian dynamics from data, where long-term predictions require the preservation of structure both in the learned model and in numer…