Volume 18, Issue 3
A Stochastic Gradient Descent Method for the Design of Optimal Random Interface in Thin-Film Solar Cells

Dan Wang, Yanzhao Cao, Qiang Li & Jihong Shen

Int. J. Numer. Anal. Mod., 18 (2021), pp. 384-398.

Published online: 2021-03

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  • 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.

  • Keywords

Optimal design, Helmholtz equation, transverse magnetic polarization, stochastic gradient decent method.

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COPYRIGHT: © Global Science Press

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@Article{IJNAM-18-384, author = {Wang , Dan and Cao , Yanzhao and Li , Qiang and Shen , Jihong}, title = {A Stochastic Gradient Descent Method for the Design of Optimal Random Interface in Thin-Film Solar Cells}, journal = {International Journal of Numerical Analysis and Modeling}, year = {2021}, volume = {18}, number = {3}, pages = {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.

}, issn = {2617-8710}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/ijnam/18729.html} }
TY - JOUR T1 - A Stochastic Gradient Descent Method for the Design of Optimal Random Interface in Thin-Film Solar Cells AU - Wang , Dan AU - Cao , Yanzhao AU - Li , Qiang AU - Shen , Jihong JO - International Journal of Numerical Analysis and Modeling VL - 3 SP - 384 EP - 398 PY - 2021 DA - 2021/03 SN - 18 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnam/18729.html KW - Optimal design, Helmholtz equation, transverse magnetic polarization, stochastic gradient decent method. AB -

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.

Dan Wang, Yanzhao Cao, Qiang Li & Jihong Shen. (2021). A Stochastic Gradient Descent Method for the Design of Optimal Random Interface in Thin-Film Solar Cells. International Journal of Numerical Analysis and Modeling. 18 (3). 384-398. doi:
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