光伏
太阳能电池
钥匙(锁)
航程(航空)
生物系统
光电子学
光伏系统
计算机科学
计算机工程
材料科学
工程类
电气工程
计算机安全
复合材料
生物
标识
DOI:10.1002/(issn)1099-159x
摘要
Graphical Abstract This study presents a unique approach to analyzing the internal quantum efficiency (IQE) of solar cells. Machine learning chain regressors were trained to extract the key electrical and optical parameters from IQE measurements, achieving extremely low error scores. Upon testing on different cell structures, the trained models achieved better performance than traditional fitting methods. The method can be adapted to a wide range of solar cell materials and technologies.
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