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
增强出版
“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 LuminescenceVol. 46, Issue 11, Pages: 2138-2149(2025)
作者机构:
1.五邑大学 电子与信息工程学院, 广东 江门 529020
2.澳门大学 应用物理与材料工程学院, 中国 澳门 999078
3.暨南大学 物理与光电工程学院, 广东 广州 510632
作者简介:
基金信息:
the National Natural Science Foundation of China (NSFC) Young Scientist Fund(62405113);Guangzhou Science and Technology Program Project(SL2024A04J00418);The Key Realm R&D Program of Guangdong Province(2019B010132004)
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.
Machine Learning Assisted Optimization of Perovskite Thin Film Fabrication Process and Assessment of Feature Importance
Fabrication of Highly Efficient and Stable Perovskite Solar Cells by Vacuum Thermal Evaporation of LiF Passivating Interface
Bimolecularly Passivated Buried Interface for Highly Efficient Perovskite Solar Cells
Solvent Regulation Strategy for Ambient Preparation of Perovskite Solar Cells
Related Author
GONG Jian
CHEN Qian
LI Yang
MA Mengen
MA Yujiao
WU Shaohang
LIU Chong
MAI Yaohua
Related Institution
Faculty of Intelligent Manufacturing, Wuyi University
Institute of Applied Physics and Materials Engineering, University of Macau, Macau SAR
RISEN Energy Co., Ltd.
School of Materials Science and Engineering, Zhejiang Sci-Tech University
Zhejiang Engineering Research Center for Fabrication and Application of Advanced Photovoltaic Materials, School of Materials Science and Engineering, NingboTech University