@Article{IJNAM-18-384,
author = {Wang , DanCao , YanzhaoLi , 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 = {<p style="text-align: justify;">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.<br/></p>},
issn = {2617-8710},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/ijnam/18729.html}
}