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

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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Bibliographic Details
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
Description
Summary: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.

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