vc-bonn / Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs
☆55Updated 2 weeks ago
Alternatives and similar repositories for Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs:
Users that are interested in Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs are comparing it to the libraries listed below
- ☆94Updated 2 weeks ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆82Updated 4 years ago
- ☆103Updated 2 weeks ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆46Updated last month
- machine learning-accelerated computational fluid dynamics☆18Updated 3 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆34Updated 6 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆25Updated last year
- MIONet: Learning multiple-input operators via tensor product☆31Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆63Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆39Updated 9 months ago
- Physics-informed radial basis network☆29Updated 9 months ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- Code repo for Fluid Graph Network☆23Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆21Updated last year
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆33Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆83Updated last year
- Physics-informed neural networks for two-phase flow problems☆51Updated 2 years ago
- ☆28Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆31Updated 7 months ago
- ☆52Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- POD-PINN code and manuscript☆47Updated 3 months ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆20Updated 2 years ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆28Updated 10 months ago
- Modified Meshgraphnets with more features☆36Updated 2 weeks ago
- DeepONet extrapolation☆25Updated last year
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆136Updated last week
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆130Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆86Updated 2 years ago