mario-linov / graphs4cfdLinks
Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)
☆49Updated last year
Alternatives and similar repositories for graphs4cfd
Users that are interested in graphs4cfd are comparing it to the libraries listed below
Sorting:
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆54Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆59Updated 3 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆57Updated last year
- Laminar flow prediction using graph neural networks☆31Updated last year
- Modified Meshgraphnets with more features☆56Updated 11 months ago
- Graph Convolutional Networks for Unstructured Flow Fields☆13Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆38Updated 3 years ago
- ☆117Updated 11 months ago
- A GNN-based PDE solver without pre-computed data☆39Updated 7 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆33Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆69Updated 2 months ago
- PDE Preserved Neural Network☆59Updated 8 months ago
- MIONet: Learning multiple-input operators via tensor product☆43Updated 3 years ago
- ☆27Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆90Updated last year
- POD-PINN code and manuscript☆57Updated last year
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆24Updated last year
- Code repo for Fluid Graph Network☆26Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆58Updated last year
- Turbulent flow network source code☆71Updated 10 months ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆27Updated 4 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 11 months ago
- Encoding physics to learn reaction-diffusion processes☆110Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆39Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆76Updated 2 years ago
- ☆92Updated last year