Pseudo-Hamiltonian neural networks for learning partial differential equations

Sølve Eidnes, Kjetil Olsen Lye

Pseudo-Hamiltonian neural networks (PHNN) were recently introduced for learning dynamical systems that can be modelled by ordinary differential equations. In this paper, we extend…