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Key factors governing the device performance of CIGS solar cells: Insights from machine learning

Cheng-Wan Zhu, Wu Liu, Yaoyao Li, Xiaomin Huo, Haotian Li, Kai Guo, Bo Qiao, Suling Zhao, Zheng Xu, Honge Zhao, Dandan Song

2021Solar Energy28 citationsDOI

Topics & Concepts

Copper indium gallium selenide solar cellsGradient boostingKey (lock)Computer scienceRandom forestBoosting (machine learning)Correlation coefficientMaterials scienceMean squared errorArtificial intelligencePhotovoltaic systemMachine learningData miningAlgorithmThin filmNanotechnologyMathematicsStatisticsElectrical engineeringComputer securityEngineeringChalcogenide Semiconductor Thin FilmsQuantum Dots Synthesis And PropertiesAdvanced Thermoelectric Materials and Devices
Key factors governing the device performance of CIGS solar cells: Insights from machine learning | Litcius