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- Dokumenttyp:
- Forschungsdaten
- Verantwortlich:
- Thuerey, Nils
- Autorinnen / Autoren:
- Thuerey, Nils; Xiangyu, Hu
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Titel:
- Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations
- Identifikator:
- doi:10.14459/2018mp1459172
- Enddatum der Datenerzeugung:
- 05.10.2018
- Fachgebiet:
- DAT Datenverarbeitung, Informatik
- Quellen der Daten:
- Simulationen / simulations
- Datentyp:
- Datenbanken / data bases
- Beschreibung:
- This archive contains 53830 data sets of RANS simulations for the “Deep Flow Prediction” project, in addition to 90 test data sets. The data set is intended for training deep neural networks for fluid simulations.
- Links:
- Schlagworte:
- Fluid Simulation; Deep Learning; Navier-Stokes
- Technische Hinweise:
Data format: numpy arrays, 128x128 with 6 channels: freestream x, freestream y, airfoil mask, output pressure, output velocity x, output velocity y.
View and download (10.2 GB, 1 file)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1459172):
rsync rsync://m1459172@dataserv.ub.tum.de/m1459172/- Sprache:
- en
- Rechte:
- by-sa, http://creativecommons.org/licenses/by-sa/4.0
- Horizon 2020:
- ERC StG 637014
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