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 - <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>