Litianyu141 / Finite-Volume-Graph-NetworkLinks
Modified Meshgraphnets with more features
☆57Updated last year
Alternatives and similar repositories for Finite-Volume-Graph-Network
Users that are interested in Finite-Volume-Graph-Network are comparing it to the libraries listed below
Sorting:
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆59Updated 4 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆54Updated 2 years ago
- A GNN-based PDE solver without pre-computed data☆39Updated 8 months ago
- ☆33Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆40Updated 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…☆58Updated last year
- ☆44Updated 3 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆259Updated 3 months ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆92Updated last year
- Deep finite volume method☆21Updated last year
- A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation☆34Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆73Updated 8 months ago
- Physics-informed neural networks for two-phase flow problems☆74Updated 4 months ago
- ☆52Updated 3 years ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆52Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆44Updated 3 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆59Updated last year
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆16Updated 3 years ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆316Updated 8 months ago
- ☆93Updated last year
- Physics-informed radial basis network☆36Updated last year
- Physics Informed Neural Networks: a starting step for CFD specialists☆40Updated 3 years ago
- Code for the Master's thesis: "Evaluation and improvements to Mesh Graph Nets for Computational Fluid Dynamics Simulations" which is buil…☆14Updated last year
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆45Updated last year
- ☆117Updated last year
- Graph Convolutional Networks for Unstructured Flow Fields☆13Updated 3 years ago