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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：2025-12-15

    • Accelerating Perovskite Solar Cell Development: A Machine Learning-driven Framework with SHAP Explainability

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    • “In the field of new solar cell technology, experts have proposed an intelligent optimization method for the preparation process of perovskite solar cells based on machine learning, which effectively improves the photoelectric conversion efficiency and provides a new perspective for the development of high-efficiency solar cells.”
    • 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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CJL | SHAP Analysis Based on Machine Learning-driven Framework: Accelerating the Development of Perovskite Solar Cells

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