Litianyu141 / Gen-FVGN-steadyLinks
A GNN-based PDE solver without pre-computed data
☆29Updated this week
Alternatives and similar repositories for Gen-FVGN-steady
Users that are interested in Gen-FVGN-steady are comparing it to the libraries listed below
Sorting:
- Modified Meshgraphnets with more features☆46Updated 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…☆54Updated 4 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆53Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Multifidelity DeepONet☆33Updated last year
- DeepONet extrapolation☆27Updated 2 years ago
- ☆25Updated 4 months ago
- Physics-informed radial basis network☆30Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆70Updated 2 years ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆39Updated last year
- ☆29Updated 2 months ago
- Physics-informed neural networks for two-phase flow problems☆61Updated last month
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated last year
- ☆8Updated 6 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated 2 months ago
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆28Updated last year
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆46Updated 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 4 months ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- ☆38Updated 3 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago
- ☆30Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆64Updated 2 weeks ago