Author/Authors :
Vijayaraghavan, Venkatesh School of Mechanical and Aerospace Engineering - Nanyang Technological University - Nanyang Avenue, Singapore , Garg, Akhil School of Mechanical and Aerospace Engineering - Nanyang Technological University - Nanyang Avenue, Singapore , How Wong, Chee School of Mechanical and Aerospace Engineering - Nanyang Technological University - Nanyang Avenue, Singapore , Tai, Kang School of Mechanical and Aerospace Engineering - Nanyang Technological University - Nanyang Avenue, Singapore , Bhalerao, Yogesh MIT Academy of Engineering (MAE) - Pune - Maharashtra, India
Abstract :
The mechanical properties of hydrogen functionalized graphene (HFG) sheets were predicted in this work by using
artificial neural network approach. The predictions of tensile strength of HFG sheets made by the proposed approach
are compared to those generated by molecular dynamics simulations. The results indicate that our proposed
computing technique can be used as a powerful tool for predicting the tensile strength of the HFG sheet.
Keywords :
Hydrogen functionalized graphene , Tensile , Atomistic simulation , Nanomechanics , Artificial neural network
