Laying the experimental foundation for corrosion inhibitor discovery through machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Laying the experimental foundation for corrosion inhibitor discovery through machine learning ; volume:8 ; number:1 ; day:21 ; month:2 ; year:2024 ; pages:1-15 ; date:12.2024
npj Materials degradation ; 8, Heft 1 (21.2.2024), 1-15, 12.2024
- Klassifikation
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Ingenieurwissenschaften und Maschinenbau
- Urheber
-
Özkan, Can
Sahlmann, Lisa
Feiler, Christian
Zheludkevich, Mikhail
Lamaka, Sviatlana
Sewlikar, Parth
Kooijman, Agnieszka
Taheri, Peyman
Mol, Arjan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41529-024-00435-z
- URN
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urn:nbn:de:101:1-2404291352426.650124070890
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:55 MESZ
Datenpartner
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Beteiligte
- Özkan, Can
- Sahlmann, Lisa
- Feiler, Christian
- Zheludkevich, Mikhail
- Lamaka, Sviatlana
- Sewlikar, Parth
- Kooijman, Agnieszka
- Taheri, Peyman
- Mol, Arjan
- SpringerLink (Online service)
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