YihaoHu / Neural_PDE
☆11Updated 2 years ago
Alternatives and similar repositories for Neural_PDE:
Users that are interested in Neural_PDE are comparing it to the libraries listed below
- ☆53Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆76Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- Original implementation of fast PINN optimization with RBA weights☆49Updated 5 months ago
- POD-PINN code and manuscript☆49Updated 4 months ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆28Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆39Updated 2 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆66Updated 2 years ago
- ☆52Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆67Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆17Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆24Updated last year
- B-PINN - Jax - HMC tutorial☆17Updated 2 years ago
- ☆31Updated last year
- ☆46Updated 3 months ago
- MIONet: Learning multiple-input operators via tensor product☆32Updated 2 years ago
- ☆26Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆52Updated 4 years ago
- ☆46Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- PINN in solving Navier–Stokes equation☆95Updated 4 years ago
- PDE Preserved Neural Network☆46Updated 8 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆56Updated 3 years ago
- ☆23Updated 10 months ago
- ☆24Updated 2 months ago
- ☆13Updated 2 years ago