echowve / phygnnet
Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
☆42Updated last year
Alternatives and similar repositories for phygnnet:
Users that are interested in phygnnet are comparing it to the libraries listed below
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆70Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆50Updated 3 years ago
- PDE Preserved Neural Network☆46Updated 9 months ago
- MIONet: Learning multiple-input operators via tensor product☆33Updated 2 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- POD-PINN code and manuscript☆50Updated 5 months ago
- ☆7Updated 4 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 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
- ☆48Updated 4 months ago
- ☆49Updated 2 months ago
- ☆23Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆30Updated 2 years ago
- Modified Meshgraphnets with more features☆40Updated 2 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated this week
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- ☆53Updated 2 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆70Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆30Updated last year
- PINN in solving Navier–Stokes equation☆97Updated 4 years ago
- ☆27Updated 2 years ago
- Physics Informed Fourier Neural Operator☆20Updated 4 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆50Updated 3 months ago
- ☆24Updated 3 months ago
- Multi-fidelity reduced-order surrogate modeling☆21Updated 4 months ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆27Updated last year
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆24Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- DeepONet extrapolation☆27Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆44Updated 10 months ago