Jianxun-Wang / graphGalerkinLinks
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
☆59Updated 3 years ago
Alternatives and similar repositories for graphGalerkin
Users that are interested in graphGalerkin are comparing it to the libraries listed below
Sorting:
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆42Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆86Updated 4 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆37Updated 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…☆70Updated 7 months ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆93Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆75Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆37Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆28Updated 6 months ago
- PDE Preserved Neural Network☆59Updated 7 months ago
- Modified Meshgraphnets with more features☆57Updated 11 months ago
- ☆54Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- POD-PINN code and manuscript☆57Updated last year
- ☆117Updated 10 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆58Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆106Updated 3 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆55Updated 2 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 11 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆59Updated 5 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Updated 4 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆83Updated 4 years ago
- Physics-informed neural networks for two-phase flow problems☆72Updated 2 months ago
- PINN program for computational mechanics☆128Updated last year