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Accelerating Perovskite Solar Cell Development: A Machine Learning-driven Framework with SHAP Explainability
Luminescence Applications and Interdisciplinary Fields | 更新时间:2025-11-26
    • Accelerating Perovskite Solar Cell Development: A Machine Learning-driven Framework with SHAP Explainability

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    • New breakthroughs have been made in the research of perovskite solar cells, with machine learning optimizing the preparation process and improving the photoelectric conversion efficiency to 21.81%, providing new ideas for the development of solar cell technology.
    • Chinese Journal of Luminescence   Vol. 46, Issue 11, Pages: 2138-2149(2025)
    • DOI:10.37188/CJL.20250149    

      CLC: TM914.4
    • CSTR:32170.14.CJL.20250149    
    • Received:13 May 2025

      Revised:2025-05-29

      Published:25 November 2025

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  • LIANG Ruiquan,LIU Qian,HU Chunhua,et al.Accelerating Perovskite Solar Cell Development: A Machine Learning-driven Framework with SHAP Explainability[J].Chinese Journal of Luminescence,2025,46(11):2138-2149. DOI: 10.37188/CJL.20250149. CSTR: 32170.14.CJL.20250149.

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