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- Document type:
- Forschungsdaten
- Publication date:
- 30.07.2021
- Responsible:
- Chen, Liwei
- Authors:
- Chen, Liwei ; Thuerey, Nils
- Author affiliation:
- TUM
- Publisher:
- TUM
- Title:
- DL Surrogates, Training Data Set (8640 samples)
- End date of data production:
- 01.06.2021
- Subject area:
- DAT Datenverarbeitung, Informatik
- Other subject areas:
- Machine Learning, Fluid Dynamics
- Resource type:
- Simulationen / simulations
- Data type:
- Datenbanken / data bases
- Description:
- 8640 numpy arrays with fluid flow data (tar.bz2) This data set contains 8640 numpy arrays with fluid flow data to reproduce experiments for numerical investigation of minimum drag profiles in laminar flow using deep learning surrogates. Full details are given at: https://github.com/tum-pbs/dl-surrogates and 10.1017/jfm.2021.398.
- Links:
Source code: https://github.com/tum-pbs/dl-surrogates
paper: 10.1017/jfm.2021.398- Key words:
- Machine Learning, Fluid Dynamics
- Technical remarks:
- View and download (2,61 GB total, 2 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1616559):
rsync rsync://m1616559@dataserv.ub.tum.de/m1616559/ - Language:
- en
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
- Horizon 2020:
- ERC 2019 CoG 863850 (SpaTe)
BibTeX