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- Title:
3D Turbulent Flow Simulations around Various Shapes
- Document type:
- Forschungsdaten
- Publication date:
- 04.04.2024
- Responsible:
- Lienen, Marten
- Authors:
- Lienen, Marten; Lüdke, David; Hansen-Palmus, Jan; Günnemann, Stephan
- Author affiliation:
- TUM
- Publisher:
- TUM
- End date of data production:
- 01.08.2023
- Subject area:
- DAT Datenverarbeitung, Informatik; MTA Technische Mechanik, Technische Thermodynamik, Technische Akustik; TEC Technik, Ingenieurwissenschaften (allgemein)
- Resource type:
- Simulationen / simulations
- Data type:
- Bilder / images
- Description:
- 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
- Method of data assessment:
- The simulations were created with OpenFOAM and postprocessed into HDF5 files.
- 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
- Key words:
- generative; learning; ai4science; turbulence
- Technical remarks:
- 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/ - Language:
- en
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
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