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Feature extraction and artificial neural networks for the on-the-fly classification of high-dimensional thermochemical spaces in adaptive-chemistry simulations—ADDENDUM

Published online by Cambridge University Press:  06 April 2022

Giuseppe D’Alessio ,
Alberto Cuoci  and
Alessandro Parente

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Addendum
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Data-Centric Engineering , Volume 3 , 2022 , e12
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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.
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© 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 D’Alessio G, Cuoci A and Parente A (Reference D’Alessio, Cuoci and Parente2021).

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

D’Alessio, G, Cuoci, A and Parente, A (2021) Feature extraction and artificial neural networks for the on-the-fly classification of high-dimensional thermochemical spaces in adaptive-chemistry simulations. Data-Centric Engineering 2, E2. https://doi.org/10.1017/dce.2021.2CrossRefGoogle Scholar
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