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In recent years, machine learning has evolved into a crucial tool to evaluate the complex and multidimensional corrosion phenomena. In this paper, the special case of non\u2010aqueous alcoholate pitting corrosion of AA1050 in ethanol\u2010blended fuels with water and chloride contamination is examined via supervised machine learning techniques in order to distinguish between safe and unsafe conditions. The data space was created by conducting dedicated experiments with varying ethanol\u2013fuel\u2013water ratios, temperatures, and surface preparations. The classifier's performance rating of 0.87 (balanced accuracy) indicates an outstanding predictive ability and highlights the model's usefulness as decision support for subsequent experiments.<\/jats:p>","DOI":"10.1002\/maco.202414598","type":"journal-article","created":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T04:35:40Z","timestamp":1728448540000},"page":"398-407","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Machine Learning\u2013Assisted Risk Assessment of Pitting Corrosion Susceptibility of AA1050 in Ethanol\u2010Containing Fuels"],"prefix":"10.1002","volume":"76","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4690-0219","authenticated-orcid":false,"given":"Lukas C.","family":"Jarren","sequence":"first","affiliation":[{"name":"Institute of Surface Science, Helmholtz\u2010Zentrum Hereon Geesthacht Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6361-4275","authenticated-orcid":false,"given":"Eugen","family":"Gazenbiller","sequence":"additional","affiliation":[{"name":"Institute of Surface Science, Helmholtz\u2010Zentrum Hereon Geesthacht Germany"}]},{"given":"Visheet","family":"Arya","sequence":"additional","affiliation":[{"name":"Institute for Materials Technology (IfW) Technische Universit\u00e4t Darmstadt Darmstadt Germany"}]},{"given":"R\u00fcdiger","family":"Reitz","sequence":"additional","affiliation":[{"name":"Institute for Materials Technology (IfW) Technische Universit\u00e4t Darmstadt Darmstadt Germany"}]},{"given":"Matthias","family":"Oechsner","sequence":"additional","affiliation":[{"name":"Institute for Materials Technology (IfW) Technische Universit\u00e4t Darmstadt Darmstadt Germany"}]},{"given":"Christian","family":"Feiler","sequence":"additional","affiliation":[{"name":"Institute of Surface Science, Helmholtz\u2010Zentrum Hereon Geesthacht Germany"}]},{"given":"Mikhail L.","family":"Zheludkevich","sequence":"additional","affiliation":[{"name":"Institute of Surface Science, Helmholtz\u2010Zentrum Hereon Geesthacht Germany"},{"name":"Faculty of Engineering Kiel University Kiel Germany"}]},{"given":"Daniel","family":"H\u00f6che","sequence":"additional","affiliation":[{"name":"Institute of Surface Science, Helmholtz\u2010Zentrum Hereon Geesthacht Germany"}]}],"member":"311","published-online":{"date-parts":[[2024,10,8]]},"reference":[{"issue":"1","key":"e_1_2_8_2_1","article-title":"Reviewing Machine Learning of Corrosion Prediction in a Data\u2010Oriented Perspective","volume":"6","author":"Coelho L. 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