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RESEARCH PAPER · Journal of Energy Chemistry · 2023

Auxiliary guidance manufacture and revealing potential mechanism of perovskite solar cell using machine learning

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Auxiliary guidance manufacture and revealing potential mechanism of perovskite solar cell using machine learningOriginalApplication of machine learning in perovskite materials and devices: A review75Temporal Decoupling-Based Machine Learning Framework for Precise Efficiency Prediction in Perovskite Solar Cells2Comparative investigation of structural, electronic, mechanical and optical responses of CsPbI3-PbSe and CsPbI3 with Mg-doped for optoelectronic applications: A first-principles study6Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices37Machine learning-driven interface engineering for enhanced microwave absorption in MXene films19Integration of 2D materials for high-performance perovskite solar cells8Laser Processing in Halide Photovoltaic Cells12Intelligent Retrieval Paradigm for Solar Sustainability0Optimizing novel device configurations for perovskite solar cells: Enhancing stability and efficiency through machine learning on a large dataset18Artificial intelligence high-throughput prediction building dataset to enhance the interpretability of hybrid halide perovskite bandgap6Low-toxicity solvent processing in ambient air for perovskite solar cells via two-step Bayesian machine learning12DFT and device simulation of KGeCl3 perovskite: A dual-function material for solar energy and hydrogen storage11Thermal Management of Perovskite Solar Cells5Hierarchical optimization of perovskite solar cell fabrication via step-by-step machine learning3Density Estimation Based on Mixtures of Gaussians for Perovskite Solar Cells Modeling0Polarization-driven piezocatalysis and mechanical criteria in ferroelectric materials: From conventional selection to AI-guided design11MAMBF: a multi-head attention and multi-branch feature fusion-based deep learning model for rapid prediction of rna molecular specific hybridization results0Whole-process performance prediction and optimization of CIGS solar cells via interpretable machine learning5

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    Journal of Energy Chemistry · 2024-03-05

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  2. Temporal Decoupling-Based Machine Learning Framework for Precise Efficiency Prediction in Perovskite Solar Cells

    The Journal of Physical Chemistry C · 2024-07-10

    Xunyong Yang, Yuqian Yang, Huimin Meng, Yu Li, Qin Hu

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  3. Comparative investigation of structural, electronic, mechanical and optical responses of CsPbI3-PbSe and CsPbI3 with Mg-doped for optoelectronic applications: A first-principles study

    Physica B Condensed Matter · 2024-09-14

    Mehrunisa Moin, Mehrunisa Moin, Abdul Waheed Anwar, Muhammad Moin, Muhammad Moin, Anwar Ali, Udayabhaskararao Thumu

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  4. Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices

    Journal of Energy Chemistry · 2024-10-02

    Bonghyun Jo, Wenning Chen, Hyun Suk Jung

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  5. Machine learning-driven interface engineering for enhanced microwave absorption in MXene films

    Materials Today Physics · 2024-12-30

    Haowei Zhou, Haowei Zhou, Zhaochen Xi, Zhaochen Xi, Man Li, Jieyan Zhang, Zhongming Liu, Zhongming Liu, Moustafa A. Darwish, Di Zhou, Tao Zhou, Di Zhou

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  6. Integration of 2D materials for high-performance perovskite solar cells

    Nanoscale · 2025-01-01

    Bixin Li, Yanlong Wang, Weidan Gu, Yan Hou, Lin Wang, Bin Du

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  7. Laser Processing in Halide Photovoltaic Cells

    Battery energy · 2025-01-05

    Chunpeng Song, Shenyi Deng, Shihui Lou, Xipeng Yin, Qiuju Liang, Jiangang Liu

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  8. Intelligent Retrieval Paradigm for Solar Sustainability

    Johnson Matthey Technology Review · 2025-03-18

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  9. Optimizing novel device configurations for perovskite solar cells: Enhancing stability and efficiency through machine learning on a large dataset

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    Frendy Jaya Kusuma, Eri Widianto, Wahyono Wahyono, Iman Santoso, Sholihun Sholihun, Moh. Adhib Ulil Absor, Setyawan P. Sakti, Kuwat Trıyana

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  10. Artificial intelligence high-throughput prediction building dataset to enhance the interpretability of hybrid halide perovskite bandgap

    Journal of Energy Chemistry · 2025-06-09

    Wenning Chen, Jungchul Yun, Doyun Im, Sijia Li, Kelvian T. Mularso, Jihun Nam, Bonghyun Jo, Sangwook Lee, Hyun Suk Jung

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  11. Low-toxicity solvent processing in ambient air for perovskite solar cells via two-step Bayesian machine learning

    Journal of Energy Chemistry · 2025-08-08

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  12. DFT and device simulation of KGeCl3 perovskite: A dual-function material for solar energy and hydrogen storage

    International Journal of Hydrogen Energy · 2025-08-27

    Mohamed Amine Hachimi, Amal Tarbi, Mariam El-Mrabet, H. Erguig, Anna M. Zawadzka, Agnieszka Marjanowska, Przemysław Płóciennik, Andriy V. Kityk, B. Sahraoui

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  13. Thermal Management of Perovskite Solar Cells

    ChemSusChem · 2025-12-14

    Qinfang Zhang, Po Chen, Xiaohu Zhao, Xiqian Yu, Abd. Rashid bin Mohd Yusoff, Yaming Yu, Peng Fei Gao

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  14. Hierarchical optimization of perovskite solar cell fabrication via step-by-step machine learning

    Cell Reports Physical Science · 2025-12-31

    Yang Pu, Yujiang Du, Qizhen Song, Ning Jia, Yingchu Dong, Mingye Yang, Luyao Ma, Ruihao Chen, Hongqiang WANG, Q. Chen, Yang Bai, Zhe Liu

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  15. Density Estimation Based on Mixtures of Gaussians for Perovskite Solar Cells Modeling

    Journal of Chemical Information and Modeling · 2026-01-19

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  16. Polarization-driven piezocatalysis and mechanical criteria in ferroelectric materials: From conventional selection to AI-guided design

    Journal of environmental chemical engineering · 2026-02-08

    Fanbing Yan, Abeer Abdulaziz Alsanad, Guangri Chen, Lianwei Shan, Abdul Khader Jilani Saudagar, Jagadeesh Suriyaprakash

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  17. MAMBF: a multi-head attention and multi-branch feature fusion-based deep learning model for rapid prediction of rna molecular specific hybridization results

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

    Journal of Energy Chemistry · 2026-04-06

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