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RESEARCH PAPER · Journal of Energy Chemistry · 2025

Perovskite solar cells empowered by machine learning

Zheng Li, Chong Xing Huang, Chong Huang, Lingfeng Chao, Yonghua Chen, Wei Huang, Gaojie Chen

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Perovskite solar cells empowered by machine learningOriginalMachine-Learning-Guided Design of Nanostructured Metal Oxide Photoanodes for Photoelectrochemical Water Splitting: From Material Discovery to Performance Optimization37Deep learning-enabled modeling of FA1-xCsxSnI3 solar cells: Impact of cesium composition and temperature on device efficiency8Photostability of lead halide perovskite photovoltaics: Fundamentals, materials and devices17Silicon–Perovskite Tandem Solar Cells: An Alternative to the Market-Dominated Silicon-Based Solar Cell Technology8Industrial-oriented large-area perovskite solar cells: fabrication technology integration, defect passivation, and stability optimization3Perovskite solar cells towards industrialization: overcoming challenges with data-driven strategies8Triple‐Functional Hydrazide‐Based Modifier for Self‐Assembled Monolayers/Perovskite to Obtain 26.29%‐Efficiency Inverted MA‐Free Perovskite Solar Cells9Triple‐Functional Hydrazide‐Based Modifier for Self‐Assembled Monolayers/Perovskite to Obtain 26.29%‐Efficiency Inverted MA‐Free Perovskite Solar Cells1High-performance lead-free Ba 3 SbI 3 -based perovskite solar cells: device simulation and machine learning-based optimization2Lab‐to‐Fab: Advances and Challenges in Bifacial Perovskite Solar Cells and Modules2Whole-process performance prediction and optimization of CIGS solar cells via interpretable machine learning5Accelerating Perovskite Solar Cell Development Through High‐Throughput Technologies: Computational Simulation, Automated Experimentation, and Intelligent Integration0Robust Multi-Output Prediction of Perovskite Solar Cell Parameters via Multi-Task Learning0Structure-activity relationship of MXene with different terminal groups for hydrogen evolution reaction based on symbolic regression and interpretable machine learning0Comparative benchmark of machine learning models for predicting perovskite solar cell performance0Numerical and machine learning approach to optimize the p-Cu 2 FeSnS 4 /n-CuAlSe 2 /n-FTO thin film solar cell for optimum device performance0

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  1. Machine-Learning-Guided Design of Nanostructured Metal Oxide Photoanodes for Photoelectrochemical Water Splitting: From Material Discovery to Performance Optimization

    Nanomaterials · 2025-06-18

    Xiongwei Liang, Shaopeng Yu, Bo Meng, Yongfu Ju, Shuai Wang, Yingning Wang

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  2. Deep learning-enabled modeling of FA1-xCsxSnI3 solar cells: Impact of cesium composition and temperature on device efficiency

    Micro and Nanostructures · 2025-08-13

    Abdelhak Maoucha, Tarek Berghout, F. Djeffal

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  3. Photostability of lead halide perovskite photovoltaics: Fundamentals, materials and devices

    Coordination Chemistry Reviews · 2025-08-28

    Congtan Zhu, Lin Zhang, Xiangming Xiong, Weihuang Lin, Xueyi Guo, Yingguo Yang

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  4. Silicon–Perovskite Tandem Solar Cells: An Alternative to the Market-Dominated Silicon-Based Solar Cell Technology

    ACS Applied Materials & Interfaces · 2025-09-08

    Aleena Kulsum Abbasi, J. P. Tiwari

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  5. Industrial-oriented large-area perovskite solar cells: fabrication technology integration, defect passivation, and stability optimization

    Journal of Materials Chemistry A · 2026-01-01

    Weidan Gu, Yuxin Zhang, Jinwen Liu, Bin Du, Xiaoliang Zhao, Fei Liu

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  6. Perovskite solar cells towards industrialization: overcoming challenges with data-driven strategies

    Nanoscale · 2026-01-01

    Qi Pan, Qixuan Zhong, Jiang Pu, G. Yu, Jinxing Chen, Muhan Cao, Bo Feng

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  7. Triple‐Functional Hydrazide‐Based Modifier for Self‐Assembled Monolayers/Perovskite to Obtain 26.29%‐Efficiency Inverted MA‐Free Perovskite Solar Cells

    Angewandte Chemie International Edition · 2026-01-14

    Hanye Wang, Yong Li, Yan Cai, Dongfang Xu, Junfeng Lin, Hui Zhou, Baihui Wang, Rui Sun, Yongzhe Li, Hongjie Lei, Zihao Fan, Yifan Wang, Yiqiao Sun, Yulin Liu, Peiyuan Liu, Junjie Zhang, Hongtao Bian, Sujuan Wu, Zhike Liu

    Read original paper ↗ ·

  8. Triple‐Functional Hydrazide‐Based Modifier for Self‐Assembled Monolayers/Perovskite to Obtain 26.29%‐Efficiency Inverted MA‐Free Perovskite Solar Cells

    Angewandte Chemie · 2026-01-14

    Hanye Wang, Yong Li, Yan Cai, Dongfang Xu, Junfeng Lin, Hui Zhou, Baihui Wang, Rui Sun, Yongzhe Li, Hongjie Lei, Zihao Fan, Yifan Wang, Yiqiao Sun, Yulin Liu, Peiyuan Liu, Junjie Zhang, Hongtao Bian, Sujuan Wu, Zhike Liu

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  9. High-performance lead-free Ba 3 SbI 3 -based perovskite solar cells: device simulation and machine learning-based optimization

    Semiconductor Science and Technology · 2026-03-25

    Md. Anwer Hossain, Md Rasidul Islam, S. Hussain

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  10. Lab‐to‐Fab: Advances and Challenges in Bifacial Perovskite Solar Cells and Modules

    Advanced Functional Materials · 2026-04-02

    Mingyue Wang, Peng Mao, Pengjie Zhang, Jun Lv, Yang Po‐Chuan, Mingzhe Li, Weihui Bi, Bing Wang, Shen Xing, Yufei Zhong

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  11. Whole-process performance prediction and optimization of CIGS solar cells via interpretable machine learning

    Journal of Energy Chemistry · 2026-04-06

    Jiaxin Cui, Xinyi Sun, Changhao Li, Yuhao Zhang, Chenyang Zhou, Dianyu E.

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  12. Accelerating Perovskite Solar Cell Development Through High‐Throughput Technologies: Computational Simulation, Automated Experimentation, and Intelligent Integration

    Battery energy · 2026-05-28

    Yiming Wang, Ziwei Du, Yuehua Chen, Yicheng Qiu, Dong Yan, Bo Hou

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  13. Robust Multi-Output Prediction of Perovskite Solar Cell Parameters via Multi-Task Learning

    Inventions · 2026-06-10

    Khaled Chahine, Mohamad Arnaout, Abdul Salam Al Atem, Abdallah Sami El Ghaly, Hassan Noura

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  14. Structure-activity relationship of MXene with different terminal groups for hydrogen evolution reaction based on symbolic regression and interpretable machine learning

    Journal of Energy Chemistry · 2026-07-03

    Dezheng Guo, Qiwen Pan, Quangang Xia, Yuan Gao

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  15. Comparative benchmark of machine learning models for predicting perovskite solar cell performance

    Solar Energy · 2026-08-07

    Yeraldin Vélez-Galvis, Esteban Gonzalez‐Valencia, Erick Reyes-Vera, Alexander Sepúlveda

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  16. Numerical and machine learning approach to optimize the p-Cu 2 FeSnS 4 /n-CuAlSe 2 /n-FTO thin film solar cell for optimum device performance

    Semiconductor Science and Technology · 2026-09-01

    Md. Anwer Hossain, Shaelseya Dewan Chakma, S. Hussain

    Read original paper ↗ ·
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