Extrality / airfrans_lib
The AirfRANS dataset makes available numerical resolutions of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations over the NACA 4 and 5 digits series of airfoils and in a subsonic flight regime setup.
☆13Updated 2 months ago
Alternatives and similar repositories for airfrans_lib:
Users that are interested in airfrans_lib are comparing it to the libraries listed below
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆22Updated 2 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆48Updated 2 months ago
- Discontinuity Computing Using Physics-Informed Neural Network☆23Updated 11 months ago
- machine learning-accelerated computational fluid dynamics☆18Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- Code repo for Fluid Graph Network☆25Updated 3 years ago
- Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)☆33Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- Competitive Physics Informed Networks☆27Updated 6 months ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆18Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆15Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆19Updated 3 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
- The MegaFlow2D dataset package☆19Updated last year
- Deep finite volume method☆21Updated 9 months ago
- DeepONet extrapolation☆26Updated last year
- Multi-head attention network for airfoil flow field prediction☆12Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆27Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- ☆28Updated 2 years ago
- ☆25Updated 8 months ago
- ☆10Updated 9 months ago
- Multifidelity DeepONet☆30Updated last year
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆12Updated 8 months ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated 9 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆25Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆38Updated last month
- ☆28Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆27Updated 5 months ago