Litianyu141 / Finite-Volume-Graph-Network
Modified Meshgraphnets with more features
☆36Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for Finite-Volume-Graph-Network
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆82Updated 2 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆47Updated 2 years ago
- Deep finite volume method☆15Updated 4 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆55Updated 7 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆34Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆26Updated 7 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆19Updated 2 years ago
- PDE Preserved Neural Network☆33Updated 4 months ago
- Physics-informed neural networks for two-phase flow problems☆48Updated last year
- Physics-informed neural networks for identifying material properties in solid mechanics☆14Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆19Updated last year
- A large-scale benchmark for machine learning methods in fluid dynamics☆131Updated 2 months ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆14Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆21Updated 7 months ago
- ☆29Updated 2 years ago
- Physics-informed radial basis network☆26Updated 6 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…☆40Updated last year
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆58Updated last year
- Multifidelity DeepONet☆27Updated last year
- PINN in solving Navier–Stokes equation☆80Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆27Updated 2 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆24Updated last year
- Physics Informed Neural Networks: a starting step for CFD specialists☆27Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆23Updated 11 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆32Updated 6 months ago
- POD-PINN code and manuscript☆46Updated last week
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆30Updated 3 months ago
- ☆94Updated 4 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆51Updated 2 years ago