Dataset of "3D generative adversarial networks for turbulent flow estimation from wall measurements"
Authors/Creators
Description
Dataset of the article 'Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements' (https://doi.org/10.1017/jfm.2024.432). The codes processing data here are on https://github.com/erc-nextflow/3D-GAN.
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 949085, NEXTFLOW). Views and opinions expressed are, however, those of the authors only, and do not necessarily reflect those of the European Union or the ERC. Neither the European Union nor the granting authority can be held responsible for them. A.C.M. acknowledges financial support from the Spanish Ministry of Universities under the Formación de Profesorado Universitario (FPU) programme 2020. R.V. acknowledges financial support from ERC (grant agreement no. 2021-CoG-101043998, DEEPCONTROL).
Files
README.txt
Files
(14.2 GB)
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md5:352a12690e64212a8d4f0b0ef41305ec
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md5:1570ef020d802e8f7677ff7b639a75e2
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Additional details
Related works
- Cites
- Journal article: 10.1017/jfm.2024.432 (DOI)
Funding
- Ministerio de Universidades
- FPU20 - Formación de Profesorado Universitario FPU20/02551
- European Commission
- NEXTFLOW - Next-generation flow diagnostics for control 949085
- European Commission
- DEEPCONTROL - Discovering novel control strategies for turbulent wings through deep reinforcement learning 101043998