xdfeng7370 / Deep-Ritz-Method
Reproduce the first two numerical experiments(Pytorch)
☆26Updated 4 years ago
Alternatives and similar repositories for Deep-Ritz-Method:
Users that are interested in Deep-Ritz-Method are comparing it to the libraries listed below
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆28Updated 3 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆70Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆17Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- POD-PINN code and manuscript☆50Updated 5 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- ☆9Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆55Updated 10 months ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- Physics-guided neural network framework for elastic plates☆38Updated 3 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆57Updated 3 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆17Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆77Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆57Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 2 years ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 2 months ago
- ☆14Updated 2 years ago
- Basic implementation of physics-informed neural network with pytorch.☆66Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆70Updated last year
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆48Updated 2 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆55Updated 4 years ago
- PINN, DGM and DRM☆20Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆87Updated last year
- ☆48Updated 4 months ago
- ☆39Updated last year
- Physics-informed neural networks for two-phase flow problems☆54Updated 2 years ago