xjtu-YiranMeng

22_6xx-DG-for-PDEs

An intro to DG methods for PDEs

characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

Conservative_PINNs

We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.

deepxde

A library for scientific machine learning and physics-informed learning

GradientPathologiesPINNs

graph-pde

Using graph network to solve PDEs

hp-VPINNs

hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

learnFEM

Self-study of finite elements; especially based on Xiaoming He's tutorials (https://web.mst.edu/~hex/files/).

ML2022-Spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

Neural-PDE-Solver

xjtu-YiranMeng/22_6xx-DG-for-PDEs

An intro to DG methods for PDEs

xjtu-YiranMeng/characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

xjtu-YiranMeng/Conservative_PINNs

We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation property of cPINN is obtained by enforcing the flux continuity in the strong form along the sub-domain interfaces.

xjtu-YiranMeng/deepxde

A library for scientific machine learning and physics-informed learning

xjtu-YiranMeng/GradientPathologiesPINNs

xjtu-YiranMeng/graph-pde

Using graph network to solve PDEs

xjtu-YiranMeng/hp-VPINNs

hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

xjtu-YiranMeng/learnFEM

Self-study of finite elements; especially based on Xiaoming He's tutorials (https://web.mst.edu/~hex/files/).

xjtu-YiranMeng/ML2022-Spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

xjtu-YiranMeng/Neural-PDE-Solver

xjtu-YiranMeng/multiscale_HiTS