A Stochastic Gradient Descent Method for the Design of Optimal Random Interface in Thin-Film Solar Cells
Year: 2021
Author: Dan Wang, Yanzhao Cao, Qiang Li, Jihong Shen
International Journal of Numerical Analysis and Modeling, Vol. 18 (2021), Iss. 3 : pp. 384–398
Abstract
Random rough texture design can be used to find the optimal design of random
surfaces in thin film solar cells to increase their absorbing efficiency. We formulate the design
problem as an optimal control problem under a PDE constraint. To lower the computational cost,
the stochastic gradient method is employed to find the optimal surface. Numerical results show
that the optimally obtained random texture has a much higher absorption rate in comparison
with flat panels.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2021-IJNAM-18729
International Journal of Numerical Analysis and Modeling, Vol. 18 (2021), Iss. 3 : pp. 384–398
Published online: 2021-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 15
Keywords: Optimal design Helmholtz equation transverse magnetic polarization stochastic gradient decent method.