ZeyuJia / DeepRitzMethodLinks
Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and implementation for deep Ritz method.
☆44Updated 7 years ago
Alternatives and similar repositories for DeepRitzMethod
Users that are interested in DeepRitzMethod are comparing it to the libraries listed below
Sorting:
- Tutorials on deep learning, Python, and dissipative particle dynamics☆194Updated 3 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆58Updated 5 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆80Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆140Updated 3 years ago
- ☆218Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- ☆63Updated 6 years ago
- ☆145Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆95Updated 3 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆38Updated 8 months ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 5 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 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…☆41Updated 2 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆137Updated 3 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 5 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- POD-PINN code and manuscript☆52Updated 8 months ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆177Updated 4 years ago
- PINN, DGM and DRM☆20Updated 2 years ago
- ☆97Updated 3 years ago
- Reproduce the first two numerical experiments(Pytorch)☆26Updated 5 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆150Updated 5 years ago
- ☆54Updated 2 years ago
- Physics Informed Neural Networks☆20Updated 4 years ago
- physics-informed neural network for elastodynamics problem☆146Updated 3 years ago
- ☆170Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆262Updated last year