10.1186/2193-8865-3-83

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

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  • Venkatesh Vijayaraghavan*1,
  • Akhil Garg1,
  • Chee How Wong1,
  • Kang Tai1,
  • Yogesh Bhalerao2,
  1. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, SG
  2. MIT Academy of Engineering (MAE), Pune, Maharashtra, IN
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Published in Issue 13-11-2013

How to Cite

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 (December 2013). https://doi.org/10.1186/2193-8865-3-83
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Abstract

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.

Keywords

  • Hydrogen functionalized graphene,
  • Tensile,
  • Atomistic simulation,
  • Nanomechanics,
  • Artificial neural network
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