Data-driven modeling for thermo-elastic properties of vacancy-defective graphene reinforced nanocomposites with its application to functionally graded beams
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1435-5663
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Data-driven modeling for thermo-elastic properties of vacancy-defective graphene reinforced nanocomposites with its application to functionally graded beams ; day:25 ; month:7 ; year:2022 ; pages:1-17
Engineering with computers ; (25.7.2022), 1-17
- Urheber
-
Zhao, Shaoyu
Zhang, Yingyan
Zhang, Yihe
Zhang, Wei
Yang, Jie
Kitipornchai, Sritawat
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00366-022-01710-w
- URN
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urn:nbn:de:101:1-2022100620442885624113
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 MESZ
Datenpartner
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Beteiligte
- Zhao, Shaoyu
- Zhang, Yingyan
- Zhang, Yihe
- Zhang, Wei
- Yang, Jie
- Kitipornchai, Sritawat
- SpringerLink (Online service)
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