Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach

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 resu...

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Main Authors:	Vijayaraghavan, Venkatesh, Garg, Akhil, Wong, Chee How, Tai, Kang, Bhalerao, Yogesh
Other Authors:	School of Mechanical and Aerospace Engineering
Format:	Article
Language:	English
Published:	2023
Subjects:	Engineering::Mechanical engineering Hydrogen Functionalized Graphene Artificial Neural Network
Online Access:	https://hdl.handle.net/10356/171164
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-171164
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spelling	sg-ntu-dr.10356-1711642023-10-28T16:47:46Z Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach Vijayaraghavan, Venkatesh Garg, Akhil Wong, Chee How Tai, Kang Bhalerao, Yogesh School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Hydrogen Functionalized Graphene Artificial Neural Network 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. Nanyang Technological University Published version VV and AG gratefully acknowledge the financial support in form of scholarship provided by the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. 2023-10-23T06:08:46Z 2023-10-23T06:08:46Z 2013 Journal Article Vijayaraghavan, V., Garg, A., Wong, C. H., Tai, K. & Bhalerao, Y. (2013). Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach. Journal of Nanostructure in Chemistry, 3(1). https://dx.doi.org/10.1186/2193-8865-3-83 2008-9244 https://hdl.handle.net/10356/171164 10.1186/2193-8865-3-83 2-s2.0-85135237068 1 3 en Journal of Nanostructure in Chemistry © 2013 Vijayaraghavan et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Mechanical engineering Hydrogen Functionalized Graphene Artificial Neural Network
spellingShingle	Engineering::Mechanical engineering Hydrogen Functionalized Graphene Artificial Neural Network Vijayaraghavan, Venkatesh Garg, Akhil Wong, Chee How Tai, Kang Bhalerao, Yogesh Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach
description	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.
author2	School of Mechanical and Aerospace Engineering
author_facet	School of Mechanical and Aerospace Engineering Vijayaraghavan, Venkatesh Garg, Akhil Wong, Chee How Tai, Kang Bhalerao, Yogesh
format	Article
author	Vijayaraghavan, Venkatesh Garg, Akhil Wong, Chee How Tai, Kang Bhalerao, Yogesh
author_sort	Vijayaraghavan, Venkatesh
title	Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach
title_short	Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach
title_full	Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach
title_fullStr	Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach
title_full_unstemmed	Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach
title_sort	predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach
publishDate	2023
url	https://hdl.handle.net/10356/171164
_version_	1781793705115516928

Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach

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