How Machine Learning Predicts and Explains the Performance of Perovskite Solar Cells

Characterizing the electrical parameters of perovskite solar cells (PSCs) usually requires a lot of time to fabricate complete devices. Here, machine learning (ML) is used to reduce the device fabrication process and predict the electrical performance of PSCs. Using ML algorithms and 814 valid data...

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Veröffentlicht in:	Solar RRL 2022-06, Vol.6 (6), p.n/a
Hauptverfasser:	Liu, Yiming, Yan, Wensheng, Han, Shichuang, Zhu, Heng, Tu, Yiteng, Guan, Li, Tan, Xinyu
Format:	Artikel
Sprache:	eng
Schlagworte:	machine learning perovskites power conversion efficiencies SHAP
Online-Zugang:	Volltext
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