amir-cardiolab / PINN-wss
PINN for obtaining WSS from sparse data
☆62Updated last year
Alternatives and similar repositories for PINN-wss
Users that are interested in PINN-wss are comparing it to the libraries listed below
Sorting:
- PINN in solving Navier–Stokes equation☆101Updated 4 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆51Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆45Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆85Updated 4 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆65Updated 3 years ago
- ☆108Updated 3 months ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆71Updated last year
- PINN program for computational mechanics☆110Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆143Updated 4 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆23Updated 2 years ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- gPINN: Gradient-enhanced physics-informed neural networks☆89Updated 3 years ago
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆36Updated 9 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆96Updated 2 years ago
- ☆58Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- Physics-informed neural networks for two-phase flow problems☆56Updated last week
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 3 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated 11 months ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆141Updated last year
- ☆38Updated 3 years ago
- ☆68Updated 5 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆59Updated 3 years ago