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RESEARCH PAPER · ACS Energy Letters · 2026

Disentangling Environmental Effects on Perovskite Solar Cell Performance via Interpretable Machine Learning

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Disentangling Environmental Effects on Perovskite Solar Cell Performance via Interpretable Machine LearningOriginalArtificial Intelligence for Perovskite Additive Engineering: From Molecular Screening to Autonomous Discovery1PerovskiteOpt-AI: A Machine Learning-Driven Multi-Parameter Optimization Framework for Lead-Free Perovskite Solar Cell Device Architecture Using SCAPS-1D Simulation and Gaussian Process Surrogate Modeling3Efficient and Stable Wide‐Bandgap Perovskite Solar Cells Fabricated via Vacuum Flash2From High-Efficiency Devices to Reproducible Manufacturing: Self-driving Laboratories Are Reshaping Perovskite Photovoltaics1The effect of additive engineering and machine learning on high performance perovskite solar cells1Isomerization of π-bridge phenylcarbazole in D-π-D-type hole-transporting materials for perovskite solar cells: Theoretical and experimental study0Transpiration-induced uneven crystallization of lead halide perovskite in carbon-electrode based, low-temperature mesoscopic perovskite solar cell0Towards system-level artificial intelligence in perovskite photovoltaics0

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  1. Artificial Intelligence for Perovskite Additive Engineering: From Molecular Screening to Autonomous Discovery

    Molecules · 2026-01-27

    Xin-De Wang, Zhi-Rui Chen, Wen-Kao Li, Peng‐Jie Guo, Cheng Mu, Ze-Feng Gao, Zhong-Yi Lu

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  2. PerovskiteOpt-AI: A Machine Learning-Driven Multi-Parameter Optimization Framework for Lead-Free Perovskite Solar Cell Device Architecture Using SCAPS-1D Simulation and Gaussian Process Surrogate Modeling

    Crystals · 2026-05-05

    Mohammed Saleh Alshaikh

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  3. Efficient and Stable Wide‐Bandgap Perovskite Solar Cells Fabricated via Vacuum Flash

    Small · 2026-06-03

    Xiaolin Ren, Chuantian Zuo, Aurora Rizzo, Ke Jin, Zuo Xiao, Fei Long, Liming Ding

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  4. From High-Efficiency Devices to Reproducible Manufacturing: Self-driving Laboratories Are Reshaping Perovskite Photovoltaics

    ACS Energy Letters · 2026-06-12

    Jiyun Zhang

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  5. The effect of additive engineering and machine learning on high performance perovskite solar cells

    Energy Materials · 2026-06-17

    Han Wang, Jiazhi Meng, Feiyu Kang, Guodan Wei

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  6. Isomerization of π-bridge phenylcarbazole in D-π-D-type hole-transporting materials for perovskite solar cells: Theoretical and experimental study

    Chinese Chemical Letters · 2026-08-01

    Jia Chen, Xin Jiang, Jiayi Yang, Lei Zhou, Fei Wu, Wei Shen, Rongxing He, Xiaorui Liu

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  7. Transpiration-induced uneven crystallization of lead halide perovskite in carbon-electrode based, low-temperature mesoscopic perovskite solar cell

    Surfaces and Interfaces · 2026-08-29

    Heng Peng, Junhao Xue, Han Huang, Conghua Zhou

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  8. Towards system-level artificial intelligence in perovskite photovoltaics

    Nature Reviews Electrical Engineering · 2026-10-01

    Yifan Li, Wei Liu, Qing Cao, Shimin Di, Mohammad Khaja Nazeeruddin, Guixiang Li

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