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RESEARCH PAPER · Advanced Science · 2024

Advanced High‐Throughput Rational Design of Porphyrin‐Sensitized Solar Cells Using Interpretable Machine Learning

Jian‐Ming Liao, Yu‐Hsuan Chen, Hsuan‐Wei Lee, Bo‐Cheng Guo, Po‐Cheng Su, Lun‐Hong Wang, Nagannagari Masi Reddy, Aswani Yella, Zhao‐Jie Zhang, Chuan‐Yung Chang, Chia‐Yuan Chen, Shaik Mohammed Zakeeruddin, Hui‐Hsu Gavin Tsai, Chen‐Yu Yeh, Michaël Grätzel

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Advanced High‐Throughput Rational Design of Porphyrin‐Sensitized Solar Cells Using Interpretable Machine LearningOriginalKey Materials and Fabrication Strategies for High-Performance Dye-Sensitized Solar Cells: Comprehensive Comparison and Perspective68Impact of alkyl-substituted auxiliary acceptor positioning on dyes for DSSCs with Hagfeldt donor7Insulin Resistance Indices Predict Mortality in Cardiovascular Disease: A Large‐Scale NHANES Study With Machine Learning Validation2A review of artificial intelligence approaches for the development of upconversion and downconversion phosphors1Highly Efficient Broad-Spectrum Antibacterial Carbon Dots through Hierarchical Machine Learning Framework0The effect of additive engineering and machine learning on high performance perovskite solar cells1A linear models approach to optimize carbazole-based dyes for solar cell applications0

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  1. Key Materials and Fabrication Strategies for High-Performance Dye-Sensitized Solar Cells: Comprehensive Comparison and Perspective

    ACS Energy Letters · 2025-01-22

    Haoran Zhou, Md Aftabuzzaman, Masud, Sung Ho Kang, Hwan Kyu Kim

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  2. Impact of alkyl-substituted auxiliary acceptor positioning on dyes for DSSCs with Hagfeldt donor

    Photochemical & Photobiological Sciences · 2025-05-01

    Xing Fang Hu, Huimin Xie, Zi-feng Gu, Zu-lun Ma, Changyan Zhu, Ji Zhang, Hancheng Zhu

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  3. Insulin Resistance Indices Predict Mortality in Cardiovascular Disease: A Large‐Scale NHANES Study With Machine Learning Validation

    Food Science & Nutrition · 2025-11-01

    Zeyi Zhou, Qiuju Ding, Xinlong Tang, Lixiang Han, Yali Wang, Jintao Qian, Kai Li, Qing Zhou

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  4. A review of artificial intelligence approaches for the development of upconversion and downconversion phosphors

    Journal of Alloys and Compounds · 2026-02-12

    David Chávez, Jorge Roberto Oliva-Uc, Carlos Eduardo Rodríguez-García, Mario Castelán

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  5. Highly Efficient Broad-Spectrum Antibacterial Carbon Dots through Hierarchical Machine Learning Framework

    Nano Letters · 2026-05-16

    Fu‐Kui Li, Weidong Zhao, Yue Wang, Rui Guo, Bao-Shuai Shi, Lin Jia, Shi‐Yu Song, Chongxin Shan, Kai-Kai Liu

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  6. 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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  7. A linear models approach to optimize carbazole-based dyes for solar cell applications

    Journal of Computer-Aided Molecular Design · 2026-07-06

    Emanuel Felipe dos Santos Mattos, Carlos Raphael Araújo Daniel, N. B. da Costa Júnior

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