Management of nonlinear waves in solar cells: Results verification through DNN–GA framework
Suleiman Ibrahim Mohammad,Asokan Vasudevan,Wan Mohd Hirwani Wan Hussain,Basem Abu Zneid
Abstract
Management of nonlinear wave propagation in graphene-reinforced solar cells is an important part of their performance improvement and reliability. In this paper, the authors examine the nonlinear phase velocity characteristics of graphene-reinforced composite materials in the case of micro-sized solar cell plates. They use a new deep neural network-genetic algorithm (DNN–GA) combination to check the nonlinear wave propagation results, thereby increasing the prediction's accuracy and efficiency. The Halpin-Tsai model is used for determining the effective properties of graphene-reinforced composites, whereas the modified coupled stress theory (MCST) and sinusoidal shear deformation theory (SSDT) are combined to reflect the influence of microstructural behaviors on wave propagation. Modified pair stress theory (MPST) is also used to allow for the size-dependent and microstructural deformation effects of the composite material. The governing equations are obtained through Hamilton's principle, and an analytical method is then used to find the solutions to these equations. The results reveal that graphene reinforcement has a significant effect on the phase velocity and that the proposed framework is very useful for accurately tracing the material's nonlinear dynamical states. The research has pointed out the fact that it is critical to resort to effective management methods so that the nonlinear wave propagation can be controlled in order to sustain the micro-sized solar cells' structural integrity and performance enhancement in real-life applications. Now, this framework has become a reliable instrument for designing and optimizing advanced graphene-reinforced composites, which are meant for the next generation of solar technologies.
Suleiman Ibrahim Mohammad — Research follower, INTI International University, 71800 Negeri Sembilan, Malaysia
Asokan Vasudevan — Faculty of Business and Communications, INTI International University, 71800 Negeri Sembilan, Malaysia/ Shinawatra University, 99 Moo 10, Bangtoey, Samkhok, Pathum Thani 12160 Thailand
Wan Mohd Hirwani Wan Hussain — Graduate School of Business, Universiti Kebangsaan Malaysia, Bangi,43600, Selangor, Malaysia
Basem Abu Zneid — Faculty of Engineering, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan
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