Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws

3 January 2024

Papers citing "Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws"

5 / 5 papers shown

Title
GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws Dimitrios G. Patsatzis Mario di Bernardo L. Russo Constantinos Siettos AI4CE 31 1 0 29 Oct 2024
Neural Operators Learn the Local Physics of Magnetohydrodynamics Taeyoung Kim Youngsoo Ha Myungjoo Kang AI4CE 24 0 0 24 Apr 2024
Scale-invariant Learning by Physics Inversion Philipp Holl V. Koltun Nils Thuerey PINN AI4CE 21 8 0 30 Sep 2021
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 126 200 0 28 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 205 2,282 0 18 Oct 2020