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Titel:

3D Turbulent Flow Simulations around Various Shapes

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
04.04.2024
Verantwortlich:
Lienen, Marten
Autorinnen / Autoren:
Lienen, Marten; Lüdke, David; Hansen-Palmus, Jan; Günnemann, Stephan
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Enddatum der Datenerzeugung:
01.08.2023
Fachgebiet:
DAT Datenverarbeitung, Informatik; MTA Technische Mechanik, Technische Thermodynamik, Technische Akustik; TEC Technik, Ingenieurwissenschaften (allgemein)
Quellen der Daten:
Simulationen / simulations
Datentyp:
Bilder / images
Methode der Datenerhebung:
The simulations were created with OpenFOAM and postprocessed into HDF5 files.
Beschreibung:
This dataset contains the simulations that we created for and used in our publication: Marten Lienen, David Lüdke, Jan Hansen-Palmus, Stephan Günnemann. "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", International Conference on Learning Representations (ICLR), 2024
Links:

More details: https://www.cs.cit.tum.de/daml/generative-turbulence

Correspondig paper: " Marten Lienen, David Lü dke, Jan Hansen-Palmus, and Stephan Gü nnemann. “ From Zero to Turbulence: Generative Modeling for 3D Flow Simulation.” In International Conference on Learning Representations, 2024" available at https://openreview.net/forum?id=ZhlwoC1XaN or https://arxiv.org/abs/2306.01776

Schlagworte:
generative; learning; ai4science; turbulence
Technische Hinweise:
Entire dataset: View and download (7,5 TB total, 92 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1737748):
rsync rsync://m1737748@dataserv.ub.tum.de/m1737748/

Representative Dataset: View and download (171 GB total, 4 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1737748.rep):
rsync rsync://m1737748.rep@dataserv.ub.tum.de/m1737748.rep/

Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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