vc-bonn / Unsupervised_Deep_Learning_of_Incompressible_Fluid_DynamicsLinks
☆96Updated 5 months ago
Alternatives and similar repositories for Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
Users that are interested in Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics are comparing it to the libraries listed below
Sorting:
- ☆60Updated 3 months ago
- ☆111Updated 5 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆86Updated 4 years ago
- ☆125Updated 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…☆55Updated 6 months ago
- MIONet: Learning multiple-input operators via tensor product☆34Updated 2 years ago
- Code repo for Fluid Graph Network☆25Updated 3 years ago
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆192Updated last month
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆265Updated last month
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- ☆54Updated 2 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆90Updated 7 months ago
- ☆45Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- Applications of PINOs☆128Updated 2 years ago
- ☆32Updated 11 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆207Updated 7 months ago
- machine learning-accelerated computational fluid dynamics☆18Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year
- ☆31Updated last week
- Turbulent flow network source code☆69Updated 4 months ago
- DeepONet extrapolation☆27Updated 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
- Characterizing possible failure modes in physics-informed neural networks.☆137Updated 3 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆44Updated 2 weeks ago
- Modified Meshgraphnets with more features☆51Updated 5 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆149Updated 5 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆148Updated 5 years ago