Title:
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow Document type:
Forschungsdaten
Responsible:
Thuerey, Nils
Authors:
Wiewel, Steffen ; Thuerey, Nils
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2020mp1552056 End date of data production:
01.04.2020
Subject area:
DAT Datenverarbeitung, Informatik
Resource type:
Simulationen / simulations
Data type:
Datenbanken / data bases
Description:
This archive contains 630k data sets of fluid simulations for the "Latent Space Subdivision". The data set is intended for training deep neural networks for fluid simulations.
Links:
Project & Source-Code Key words:
Fluid Simulation; Navier-Stokes; Deep Learning; Computer Graphics; Computer Vision
Technical remarks:
Data format: numpy arrays (npz) View and download (3,33 GB total, 2 files) downloads with FTP rsync rsync://m1552056@dataserv.ub.tum.de/m1552056/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
Horizon 2020:
ERC StG 637014
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