hpwang87 / PINN-TF2.1
☆18Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for PINN-TF2.1
- PINNs for 2D Incompressible Navier-Stokes Equation☆31Updated 5 months ago
- Physics-informed neural networks for two-phase flow problems☆48Updated last year
- POD-PINN code and manuscript☆45Updated 4 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆26Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆18Updated 2 years ago
- ☆28Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆81Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆55Updated 7 months ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆26Updated 7 months ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆26Updated 4 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆23Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆21Updated 6 months ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆101Updated 7 months ago
- ☆93Updated 3 months ago
- Use deep learning to learn a turbulence model from high fedelity data. The model can reasonably predict other turbulent flows.☆17Updated 5 years ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆28Updated 4 months ago
- XPINN code written in TensorFlow 2☆26Updated last year
- PINN in solving Navier–Stokes equation☆75Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆56Updated last year
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆54Updated last year
- ☆55Updated 3 months ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆74Updated last year
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆17Updated 5 months ago
- ☆9Updated 11 months ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆20Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆27Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆79Updated last year
- DeepONet extrapolation☆24Updated last year
- Deep finite volume method☆15Updated 4 months ago