Rose-STL-Lab / Turbulent-Flow-Net
Turbulent flow network source code
☆66Updated last week
Alternatives and similar repositories for Turbulent-Flow-Net:
Users that are interested in Turbulent-Flow-Net are comparing it to the libraries listed below
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆47Updated 2 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆64Updated 11 months ago
- ☆35Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆84Updated 4 years ago
- DeepONet extrapolation☆26Updated last year
- ☆10Updated 9 months ago
- ☆23Updated 8 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆82Updated 3 months ago
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆26Updated 3 months ago
- Physics-encoded recurrent convolutional neural network☆45Updated 3 years ago
- MIONet: Learning multiple-input operators via tensor product☆32Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆25Updated last year
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆37Updated 6 years ago
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆57Updated 7 months ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆41Updated last year
- Applications of PINOs☆119Updated 2 years ago
- ☆19Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- ☆13Updated 5 years ago
- ☆47Updated 2 months ago
- ☆56Updated last month
- PDE Preserved Neural Network☆46Updated 8 months ago
- ☆62Updated 5 years ago
- ☆41Updated 6 months ago