xdfeng7370 / Deep-Ritz-MethodLinks
Reproduce the first two numerical experiments(Pytorch)
☆26Updated 5 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
Sorting:
- POD-PINN code and manuscript☆56Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 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…☆43Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆35Updated 3 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆59Updated 5 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆85Updated 3 months ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆93Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆71Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- ☆13Updated 2 years ago
- ☆54Updated 3 years ago
- ☆22Updated 5 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆27Updated 10 months ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆39Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆73Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- MIONet: Learning multiple-input operators via tensor product☆39Updated 3 years ago
- ☆15Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆103Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆81Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆57Updated 3 years ago
- ☆63Updated 6 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆87Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆93Updated 3 years ago