Correction to: npj Materials Degradation https://doi.org/10.1038/s41529-022-00218-4, published online 26 January 2022
The original version of this Review Article incorrectly labelled the references in the main text. As a result, the following changes have been made to the original version of this Review Article:
The reference numbers “11”, “12”, “13”, ”14”, “15”, “16”, “17”, and “18” in the main text (except reference numbers in the Figures and Figure captions) are replaced by “13”, “14”, “15”, ”16”, “17”, “18”, “11”, and “12”, respectively. For example, the second sentence of the last paragraph of the “Bibliometric data mining” section originally stated “From this preselection, 16 references where regression models were employed while providing comparable metrics were selected1–16”. In the corrected version, “selected1–16” is replaced by “selected1-10, 13-18”.
In addition, the caption title of Figure 6 originally stated “Performance of the ML models expressed by the MAPE (refs. 3,5,9–11,13,19)”. In the corrected version, “MAPE (refs. 3,5,9–11,13,19)” is replaced by “MAPE (refs. 3,5,9–11,13,18)”.
The first paragraph of the “Research evolution and perspectives” section originally stated “Training ML models with large datasets presenting comparable features across wide ranges of values is paramount for accurate prediction24,26,54.” In the corrected version, “prediction24,26,54” is replaced by “prediction2, 24,26,54”.
The changes have been made to both the PDF and HTML versions of the Article.
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Coelho, L.B., Zhang, D., Van Ingelgem, Y. et al. Author Correction: Reviewing machine learning of corrosion prediction in a data-oriented perspective. npj Mater Degrad 6, 72 (2022). https://doi.org/10.1038/s41529-022-00284-8
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DOI: https://doi.org/10.1038/s41529-022-00284-8
