Pseudo-Hamiltonian neural networks for learning partial differential equations

DOI10.1016/j.jcp.2023.112738arXiv2304.14374MaRDI QIDQ6119277

Sølve Eidnes, Kjetil O. Lye

Publication date: 29 February 2024

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2304.14374

zbMATH Keywords

inverse problempartial differential equationsphysics-informed machine learningHamiltonian neural networks

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Partial differential equations of mathematical physics and other areas of application (35Qxx)

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