BaratiLab / FGN
Code repo for Fluid Graph Network
☆25Updated 3 years ago
Alternatives and similar repositories for FGN
Users that are interested in FGN are comparing it to the libraries listed below
Sorting:
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated last year
- machine learning-accelerated computational fluid dynamics☆18Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆51Updated 3 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 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…☆52Updated 4 months ago
- ☆30Updated 2 years ago
- ☆59Updated last month
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Modified Meshgraphnets with more features☆42Updated 3 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆39Updated 2 months ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆37Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆13Updated last year
- Code for the Master's thesis: "Evaluation and improvements to Mesh Graph Nets for Computational Fluid Dynamics Simulations" which is buil…☆12Updated 11 months ago
- ☆95Updated 3 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆14Updated last year
- MeshGraphNets (MGN)☆62Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆36Updated 9 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆43Updated last year
- DeepONet extrapolation☆27Updated last year
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Updated 3 years ago
- KTH-FlowAI / beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows☆30Updated 3 weeks ago
- Material Point Method with Nonlocal Granular Fluidity☆26Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- The AirfRANS dataset makes available numerical resolutions of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations over th…☆14Updated 4 months ago
- The MegaFlow2D dataset package☆21Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆32Updated this week