Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks

2 December 2021

Papers citing "Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks"

5 / 5 papers shown

Title
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks Youngsik Hwang Dong-Young Lim AI4CE 28 2 0 27 Sep 2024
Unsupervised Legendre-Galerkin Neural Network for Singularly Perturbed Partial Differential Equations Junho Choi N. Kim Youngjoon Hong AI4CE 11 0 0 21 Jul 2022
A Neural Network Approach for Homogenization of Multiscale Problems Jihun Han Yoonsang Lee 27 12 0 04 Jun 2022
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang Hanwen Wang P. Perdikaris 126 435 0 18 Dec 2020
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains Ziqi Liu Wei Cai Zhi-Qin John Xu AI4CE 109 122 0 22 Jul 2020