Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems

6 February 2022

Papers citing "Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems"

6 / 6 papers shown

Title
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications Lucas Böttcher Gregory R. Wheeler 32 0 0 05 Apr 2024
A Spectral Approach for Learning Spatiotemporal Neural Differential Equations Mingtao Xia Xiangting Li Qijing Shen Tom Chou 16 0 0 28 Sep 2023
Numerical Methods For PDEs Over Manifolds Using Spectral Physics Informed Neural Networks Yuval Zelig S. Dekel 9 1 0 10 Feb 2023
Failure-informed adaptive sampling for PINNs Zhiwei Gao Liang Yan Tao Zhou 18 77 0 01 Oct 2022
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 223 2,287 0 18 Oct 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 183 760 0 13 Mar 2020