Published July 22, 2021
| Version v1
Software
Open
Learning the structure of wind: A PyTorch implementation of the deep rapid distortion synthetic turbulence model
Authors/Creators
- 1. Lawrence Livermore National Laboratory
- 2. Technical University of Munich
Description
This directory contains the source code from the publication "Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer", by Brendan Keith, Ustim Khristenko, and Barbara Wohlmuth.
Notes
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 800898. This work was also partly supported by the German Research Foundation by grant WO671/11-1.
This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344, LLNL-JRNL-824304.
Files
DRD_Wind.zip
Files
(3.6 MB)
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md5:6736d0773130b7f433d4b830f5116517
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Additional details
Related works
- Is continued by
- Software: https://github.com/ukhrist/WindGenerator.git (URL)
- Is supplement to
- Preprint: https://arxiv.org/abs/2107.11046 (URL)
- Journal article: 10.1063/5.0064394 (DOI)