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Vijayaraghavan, Venkatesh, Garg, Akhil, Wong, Chee How, Tai, Kang and Bhalerao, Yogesh Jayant 
ORCID: https://orcid.org/0000-0002-0743-8633
(2013)
Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach.
Journal of Nanostructure in Chemistry, 3.
ISSN 2193-8865
Abstract
The mechanical properties of hydrogen functionalized graphene (HFG) sheets werepredicted in this work by using artificial neural network approach. Thepredictions of tensile strength of HFG sheets made by the proposed approach arecompared to those generated by molecular dynamics simulations. The resultsindicate that our proposed computing technique can be used as a powerful toolfor predicting the tensile strength of the HFG sheet.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Science > School of Engineering (former - to 2024) |
| UEA Research Groups: | Faculty of Science > Research Groups > Materials, Manufacturing & Process Modelling |
| Depositing User: | LivePure Connector |
| Date Deposited: | 14 Jan 2020 05:00 |
| Last Modified: | 07 Nov 2024 12:41 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/73615 |
| DOI: | 10.1186/2193-8865-3-83 |
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