OICC Press Journal of Nanostructure in Chemistry 2193-8865 3 1 (December 2013) 2013 11 13 Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach 10.1186/2193-8865-3-83 EN Venkatesh Vijayaraghavan School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, SG Akhil Garg School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, SG Chee How Wong School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, SG Kang Tai School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, SG Yogesh Bhalerao MIT Academy of Engineering (MAE), Pune, Maharashtra, IN Journal Article 2013 11 13 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.