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Document type:
Forschungsdaten
Publication date:
18.10.2022
Responsible:
Bjoern List
Authors:
Bjoern List; Liwei Chen; Nils Thuerey
Author affiliation:
TUM
Publisher:
TUM
Title:
Dataset for Learned Turbulence Modelling with Differentiable Fluid Solvers
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:
Numpy dataset for training neural network
Links:

This dataset relates to the publication: https://arxiv.org/abs/2202.06988

Source code can be found here: https://github.com/tum-pbs/differentiable-piso

Key words:
Machine Learning, Fluid Dynamics
Technical remarks:
View and download (2 GB total, 1 File)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1687392):
rsync rsync://m1687392@dataserv.ub.tum.de/m1687392/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
Horizon 2020:
ERC 2019 CoG 863850 (SpaTe)
 BibTeX