| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1551256 | Solar Energy | 2010 | 4 Pages |
Abstract
To investigate factors limiting the performance of a GaAs solar cell, genetic algorithm is employed to fit the experimentally measured internal quantum efficiency (IQE) in the full spectra range. The device parameters such as diffusion lengths and surface recombination velocities are extracted. Electron beam induced current (EBIC) is performed in the base region of the cell with obtained diffusion length agreeing with the fit result. The advantage of genetic algorithm is illustrated.
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Kanglin Xiong, Shulong Lu, Taofei Zhou, Desheng Jiang, Rongxin Wang, Kai Qiu, Jianrong Dong, Hui Yang,