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Document type:
Forschungsdaten 
Publication date:
30.07.2021 
Authors:
Chen, Liwei ; Thuerey, Nils 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
DL Surrogates, Training Data Set (8640 samples) 
Time of 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
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)