Predicting corrosion inhibition efficiencies of small organic molecules using data-driven techniques

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Predicting corrosion inhibition efficiencies of small organic molecules using data-driven techniques ; volume:7 ; number:1 ; day:9 ; month:8 ; year:2023 ; pages:1-11 ; date:12.2023
npj Materials degradation ; 7, Heft 1 (9.8.2023), 1-11, 12.2023

Creator: Li, Xuejiao
Vaghefinazari, Bahram
Würger, Tim
Lamaka, Sviatlana
Zheludkevich, Mikhail L.
Feiler, Christian

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41529-023-00384-z

URN: urn:nbn:de:101:1-2024020907474216285882

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:22 AM CEST

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Li, Xuejiao
Vaghefinazari, Bahram
Würger, Tim
Lamaka, Sviatlana
Zheludkevich, Mikhail L.
Feiler, Christian
SpringerLink (Online service)

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Predicting corrosion inhibition efficiencies of small organic molecules using data-driven techniques

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