Reviewing machine learning of corrosion prediction in a data-oriented perspective

Vincent Vangrunderbeek; Leonardo Bertolucci Coelho; Yves Van Ingelgem; Herman Terryn; Ann Nowe; Denis Steckelmacher; Dawei Zhang

doi:https://doi.org/10.1038/s41529-022-00218-4

Reviewing machine learning of corrosion prediction in a data-oriented perspective

Vincent Vangrunderbeek, Leonardo Bertolucci Coelho, Yves Van Ingelgem, Herman Terryn, Ann Nowe, Denis Steckelmacher, Dawei Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

38 Citations (Scopus)

Abstract

This work provides a data-oriented overview of the rapidly growing research field covering machine learning (ML) applied to predicting electrochemical corrosion. Our main aim was to determine which ML models have been applied and how well they performed depending on the corrosion topic considered. From an extensive review of corrosion articles presenting comparable performance metrics, a ‘Machine learning for corrosion database’ was created, guiding corrosion experts and model developers in their applications of ML to corrosion. Potential research gaps and recommendations are discussed, and a broad perspective for future research paths is provided.

Original language	English
Title of host publication	Reviewing machine learning of corrosion prediction in a data-oriented perspective
Publisher	npj materials degradation
Pages	56
Number of pages	72
Volume	6
Edition	1
DOIs	https://doi.org/10.1038/s41529-022-00218-4
Publication status	Published - Dec 2022
Event	EurCorr 2022 - Berlin, Germany Duration: 28 Aug 2022 → 1 Sep 2022 https://eurocorr.org/2022.html

Publication series

Name	npj Materials Degradation
Publisher	Nature Research
ISSN (Print)	2397-2106

Conference

Conference	EurCorr 2022
Country/Territory	Germany
City	Berlin
Period	28/08/22 → 1/09/22
Internet address	https://eurocorr.org/2022.html

Bibliographical note

Funding Information:
The author L.B. Coelho is a Postdoctoral Researcher of the Fonds de la Recherche Scientifique – FNRS which is gratefully acknowledged.

Publisher Copyright:
© 2022, The Author(s).

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

Access to Document

https://doi.org/10.1038/s41529-022-00218-4

Cite this

Vangrunderbeek, V., Bertolucci Coelho, L., Van Ingelgem, Y., Terryn, H., Nowe, A., Steckelmacher, D., & Zhang, D. (2022). Reviewing machine learning of corrosion prediction in a data-oriented perspective. In Reviewing machine learning of corrosion prediction in a data-oriented perspective (1 ed., Vol. 6, pp. 56). (npj Materials Degradation). npj materials degradation. https://doi.org/10.1038/s41529-022-00218-4

Vangrunderbeek, Vincent ; Bertolucci Coelho, Leonardo ; Van Ingelgem, Yves ; Terryn, Herman ; Nowe, Ann ; Steckelmacher, Denis ; Zhang, Dawei. / Reviewing machine learning of corrosion prediction in a data-oriented perspective. Reviewing machine learning of corrosion prediction in a data-oriented perspective. Vol. 6 1. ed. npj materials degradation, 2022. pp. 56 (npj Materials Degradation).

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author = "Vincent Vangrunderbeek and {Bertolucci Coelho}, Leonardo and {Van Ingelgem}, Yves and Herman Terryn and Ann Nowe and Denis Steckelmacher and Dawei Zhang",

note = "Funding Information: The author L.B. Coelho is a Postdoctoral Researcher of the Fonds de la Recherche Scientifique – FNRS which is gratefully acknowledged. Publisher Copyright: {\textcopyright} 2022, The Author(s). Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; EurCorr 2022 ; Conference date: 28-08-2022 Through 01-09-2022",

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Vangrunderbeek, V , Bertolucci Coelho, L , Van Ingelgem, Y , Terryn, H , Nowe, A , Steckelmacher, D & Zhang, D 2022, Reviewing machine learning of corrosion prediction in a data-oriented perspective. in Reviewing machine learning of corrosion prediction in a data-oriented perspective. 1 edn, vol. 6, npj Materials Degradation, npj materials degradation, pp. 56, EurCorr 2022, Berlin, Germany, 28/08/22. https://doi.org/10.1038/s41529-022-00218-4

Reviewing machine learning of corrosion prediction in a data-oriented perspective. / Vangrunderbeek, Vincent ; Bertolucci Coelho, Leonardo ; Van Ingelgem, Yves ; Terryn, Herman ; Nowe, Ann ; Steckelmacher, Denis; Zhang, Dawei.

Reviewing machine learning of corrosion prediction in a data-oriented perspective. Vol. 6 1. ed. npj materials degradation, 2022. p. 56 (npj Materials Degradation).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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Vangrunderbeek V , Bertolucci Coelho L , Van Ingelgem Y , Terryn H , Nowe A , Steckelmacher D et al. Reviewing machine learning of corrosion prediction in a data-oriented perspective. In Reviewing machine learning of corrosion prediction in a data-oriented perspective. 1 ed. Vol. 6. npj materials degradation. 2022. p. 56. (npj Materials Degradation). https://doi.org/10.1038/s41529-022-00218-4

Reviewing machine learning of corrosion prediction in a data-oriented perspective

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