Year: 2006
Type: paratext
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.
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $5,150
OpenAlex ID: W4251107265