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Document type:
Forschungsdaten
Publication date:
16.12.2022
Responsible:
Thuerey, Nils
Authors:
Prantl, Lukas; Thuerey, Nils
Author affiliation:
TUM
Publisher:
TUM
Title:
Dataset for Deep Momentum-Conserving Fluids (DMCF)
End date of data production:
01.09.2022
Subject area:
DAT Datenverarbeitung, Informatik; MAS Maschinenbau
Resource type:
Simulationen / simulations
Data type:
Datenbanken / data bases
Description:
Dataset for training a neural network
Links:

Corresponding paper: https://openreview.net/pdf?id=6niwHlzh10U
Source code: https://github.com/tum-pbs/DMCF/

Key words:
Machine Learning, Fluid Dynamics
Technical remarks:
View and download (23 GB total, 2 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1693614):
rsync rsync://m1693614@dataserv.ub.tum.de/m1693614/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
Horizon 2020:
ERC 2019 CoG 863850 (Spa-Te)
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