Atomistic insights into adhesion characteristics of tungsten on titanium nitride using steered molecular dynamics with machine learning interatomic potential
- 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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Atomistic insights into adhesion characteristics of tungsten on titanium nitride using steered molecular dynamics with machine learning interatomic potential ; volume:13 ; number:1 ; day:10 ; month:10 ; year:2023 ; pages:1-13 ; date:12.2023
Scientific reports ; 13, Heft 1 (10.10.2023), 1-13, 12.2023
- Urheber
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Cho, Eunseog
Son, Won-Joon
Cho, Eunae
Jang, Inkook
Kim, Dae Sin
Min, Kyoungmin
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-44265-6
- URN
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urn:nbn:de:101:1-2024020710473211442567
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:34 MESZ
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Beteiligte
- Cho, Eunseog
- Son, Won-Joon
- Cho, Eunae
- Jang, Inkook
- Kim, Dae Sin
- Min, Kyoungmin
- SpringerLink (Online service)
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