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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: npj Materials Degradation 7 (1): 64 (2023-12-01)

Event: Veröffentlichung

(where): Hamburg

(who): Technische Universität Hamburg. Universitätsbibliothek

(when): 2023

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

DOI: 10.15480/882.8375

URN: urn:nbn:de:101:1-2023122010304290611427

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:37 AM CEST

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Li, Xuejiao
Vaghefinazari, Bahram
Würger, Tim
Lamaka, Sviatlana
Zheludkevich, Mikhail L.
Feiler, Christian
Technische Universität Hamburg. Universitätsbibliothek

Time of origin

2023

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

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Other Objects (12)

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