Data-driven modeling for thermo-elastic properties of vacancy-defective graphene reinforced nanocomposites with its application to functionally graded beams

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1435-5663
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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
Zhao, Shaoyu
Zhang, Yingyan
Zhang, Yihe
Zhang, Wei
Yang, Jie
Kitipornchai, Sritawat
Contributor
SpringerLink (Online service)

DOI
10.1007/s00366-022-01710-w
URN
urn:nbn:de:101:1-2022100620442885624113
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:31 AM CEST

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Associated

  • Zhao, Shaoyu
  • Zhang, Yingyan
  • Zhang, Yihe
  • Zhang, Wei
  • Yang, Jie
  • Kitipornchai, Sritawat
  • SpringerLink (Online service)

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