Data-driven modeling for thermo-elastic properties of vacancy-defective graphene reinforced nanocomposites with its application to functionally graded beams
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1435-5663
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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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
- Creator
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Zhao, Shaoyu
Zhang, Yingyan
Zhang, Yihe
Zhang, Wei
Yang, Jie
Kitipornchai, Sritawat
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00366-022-01710-w
- URN
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urn:nbn:de:101:1-2022100620442885624113
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:31 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhao, Shaoyu
- Zhang, Yingyan
- Zhang, Yihe
- Zhang, Wei
- Yang, Jie
- Kitipornchai, Sritawat
- SpringerLink (Online service)