Computational prediction of electrical and thermal properties of graphene and BaTiO₃ reinforced epoxy nanocomposites

Kumar Mishra, R., Goel, S. and Yazdani Nezhad, H. orcid.org/0000-0003-0832-3579 (Cover date: 2022) Computational prediction of electrical and thermal properties of graphene and BaTiO₃ reinforced epoxy nanocomposites. Biomaterials and Polymers Horizon, 1 (3). ISSN 2789-9705

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Item Type: Article
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© The Authors, 2022. This article is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) licence, which permits copy and redistribute the material in any medium or format for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the licence terms. Under the following terms you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorsed you or your use. If you remix, transform, or build upon the material, you may not distribute the modified material. To view a copy of this license, visit https://creativecommons.org/licenses/by-nd/4.0/.

Keywords: Epoxy, Barium titanate, Graphene nanoplatelets, Dielectric properties, Thermal properties
Dates:
  • Published: 2022
  • Published (online): 20 October 2021
  • Accepted: 7 October 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Nov 2024 16:05
Last Modified: 11 Nov 2024 16:05
Published Version: https://eaapublishing.org/journals/index.php/bph/a...
Status: Published
Publisher: Eurasia Academic Publishing Group
Identification Number: 10.37819/bph.001.01.0132
Open Archives Initiative ID (OAI ID):

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