Jianxun-Wang / graphGalerkinLinks
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
☆55Updated 3 years ago
Alternatives and similar repositories for graphGalerkin
Users that are interested in graphGalerkin are comparing it to the libraries listed below
Sorting:
- Multifidelity DeepONet☆34Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆86Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆71Updated 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…☆65Updated last month
- ☆54Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆39Updated 10 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆80Updated 3 years ago
- ☆111Updated 5 months ago
- POD-PINN code and manuscript☆52Updated 8 months ago
- Physics-informed neural networks for two-phase flow problems☆63Updated 2 months ago
- gPINN: Gradient-enhanced physics-informed neural networks☆93Updated 3 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆47Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆25Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆75Updated last year
- Physics-guided neural network framework for elastic plates☆42Updated 3 years ago
- ☆39Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆24Updated 3 weeks ago
- PDE Preserved Neural Network☆53Updated 2 months ago
- DeepONet extrapolation☆27Updated 2 years ago
- Modified Meshgraphnets with more features☆51Updated 5 months ago
- Physics-informed radial basis network☆30Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆11Updated 3 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆81Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆70Updated 3 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- PINN in solving Navier–Stokes equation☆106Updated 5 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 3 years ago