{"repo":"rohitroxkp7/UniFoil","free":true,"listed":false,"github":"https://github.com/rohitroxkp7/UniFoil","clone":"git clone https://github.com/rohitroxkp7/UniFoil.git","description":"This repository contains supplementary information and code to help users access the UniFoil dataset.","language":"Python","stars":15,"topics":["computational-fluid-dynamics","database","dataset","fluid-dynamics","machine-learning","neural-network"],"license":"CC-BY-SA-4.0","category":"machine-learning","readme_excerpt":"UniFoil is a Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows for Machine Learning. It consists of 500,000 simulations covering transitional and fully turbulent flows across incompressible to compressible regimes for 2D airfoils. UniFoil features include the following: - 400,000 fully-turbulent (FT) airfoil simulations - 50,000 natural laminar flow (NLF) airfoil simulations in fully turbulent regime - 50,000 NLF airfoil simulations in the transition regime. The dataset can be found at the Harvard Dataverse here - https://doi.org/10.7910/DVN/VQGWC4 How to use UniFoil? Clone this repository and enter the UniFoil directory. Run the following command in terminal to install UniFoil interface. Please ensure that you have a fresh python virtual environment before doing so. This interface will help with data visualization and extraction from the dataset. For usage, please refer to the Read the Docs website - https://unifoildocs.readthedocs.io/ License Distributed using the CC BY-SA license, version 4.0; \\ Please see the LICENSE file for details. Citing UniFoil If you use the UniFoil dataset, please cite Also, please cite our paper","default_branch":null,"files":null,"tree":[],"storefront":"/r/rohitroxkp7","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/rohitroxkp7/UniFoil/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}