Deep learning of first-order nonlinear hyperbolic conservation law solvers

DOI10.1016/j.jcp.2024.113114MaRDI QIDQ6560690

Benedetto Piccoli, Ryan Weightman, Victor Morand, Alexander Keimer, Alexandre M. Bayen, Nils Müller

Publication date: 23 June 2024

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

zbMATH Keywords

neural networksfinite volume methodsnumerical schemesapproximation of numerical schemes for conservation laws by neural netsapproximation of numerical schemes for conservation laws by polynomials

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Hyperbolic equations and hyperbolic systems (35Lxx)

This page was built for publication: Deep learning of first-order nonlinear hyperbolic conservation law solvers