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Performance and accuracy assessments of an incompressible fluid solver coupled with a deep convolutional neural network—ADDENDUM

Published online by Cambridge University Press:  04 April 2022

Ekhi Ajuria Illarramendi ,
Michaël Bauerheim  and
Bénédicte Cuenot

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Addendum
Information
Data-Centric Engineering , Volume 3 , 2022 , e9
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Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press

The editors and publisher of Data-Centric Engineering would like to include the Open Data badge in this article Ajuria Illarramendi E, et al. (Reference Ajuria Illarramendi, Bauerheim and Cuenot2022).

Open Data Badge—indicates that data necessary to reproduce the reported results are available in an open access repository, under an open licence, with an accompanying description of the data.

The original article has been updated to include the badge for data transparency. Please refer to the Data Availability Statement to find the identifier linking to the open data or open materials.

References

Ajuria Illarramendi, E, Bauerheim, M and Cuenot, B (2022) Performance and accuracy assessments of an incompressible fluid solver coupled with a deep convolutional neural network. Data-Centric Engineering 3, E2. https://doi.org/10.1017/dce.2022.2CrossRefGoogle Scholar
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