Close menu

SURE

Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Mechanical prediction of graphene-based polymer nanocomposites for energy-efficient and safe vehicles

Elmarakbi, Ahmed and Azoti, Wiyao (2018) Mechanical prediction of graphene-based polymer nanocomposites for energy-efficient and safe vehicles. In: Experimental characterization, predictive mechanical and thermal modeling of nanostructures and their polymer composites. Micro and Nano Technologies . Elsevier, pp. 159-177. ISBN 978-0-323-48061-1

Item Type: Book Section
[img]
Preview
PDF
3. Chapter 4.pdf - Accepted Version

Download (581kB) | Preview

More Information

Depositing User: Barry Hall

Identifiers

Item ID: 9226
Identification Number: https://doi.org/10.1016/B978-0-323-48061-1.00004-X
ISBN: 978-0-323-48061-1
URI: http://sure.sunderland.ac.uk/id/eprint/9226
Official URL: https://www.sciencedirect.com/science/article/pii/...

Users with ORCIDS

ORCID for Ahmed Elmarakbi: ORCID iD orcid.org/0000-0002-7479-3870

Catalogue record

Date Deposited: 01 May 2018 07:44
Last Modified: 20 May 2019 11:47

Contributors

Author: Ahmed Elmarakbi ORCID iD
Author: Wiyao Azoti

University Divisions

Faculty of Technology

Subjects

Engineering > Automotive Engineering

Actions (login required)

View Item (Repository Staff Only) View Item (Repository Staff Only)