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RESEARCH PAPER · The Journal of Physical Chemistry C · 2022

Interpretable Machine Learning for Investigating Photoelectrochemical Properties of Cosensitizer-Based CH3NH3PbI3/TiO2 Films in Water

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Interpretable Machine Learning for Investigating Photoelectrochemical Properties of Cosensitizer-Based CH3NH3PbI3/TiO2 Films in WaterOriginalImage-based machine learning for materials science54An Introduction to Machine Learning in Molecular Sciences0Machine learning integrated photocatalysis: progress and challenges94High-throughput calculation and machine learning of two-dimensional halide perovskite materials: Formation energy and band gap35Design Rules for Two‐Dimensional Organic Semiconductor‐Incorporated Perovskites (OSiP) Gleaned from Thousands of Simulated Structures**11Design Rules for Two‐Dimensional Organic Semiconductor‐Incorporated Perovskites (OSiP) Gleaned from Thousands of Simulated Structures**0Emerging opportunities for hybrid perovskite solar cells using machine learning8Emerging Two-Dimensional Organic Semiconductor-Incorporated Perovskites─A Fascinating Family of Hybrid Electronic Materials101Accelerated design of stable halide perovskite heterostructure film in hostile condition via surface modifier5NJmat: Data-Driven Machine Learning Interface to Accelerate Material Design12Language Model-Assisted Machine Learning, Photoelectrochemical, and First-Principles Investigation of Compatible Solvents for a CH3NH3PbI3 Film in Water5

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11 direct citing papers saved.

  1. Image-based machine learning for materials science

    Journal of Applied Physics · 2022-09-08

    Lei Zhang, Shaofeng Shao

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  2. An Introduction to Machine Learning in Molecular Sciences

    Challenges and advances in computational chemistry and physics · 2023-01-01

    Hanchao Liu, Chen Qu

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  3. Machine learning integrated photocatalysis: progress and challenges

    Chemical Communications · 2023-01-01

    Luyao Ge, Yuanzhen Ke, Xiaobo Li

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  4. High-throughput calculation and machine learning of two-dimensional halide perovskite materials: Formation energy and band gap

    Materials Today Communications · 2023-03-17

    Wenguang Hu, Lei Zhang

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  5. Design Rules for Two‐Dimensional Organic Semiconductor‐Incorporated Perovskites (OSiP) Gleaned from Thousands of Simulated Structures**

    Angewandte Chemie International Edition · 2023-06-12

    Zih‐Yu Lin, Jiaonan Sun, Stephen B. Shiring, Letian Dou, Brett Matthew Savoie

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  6. Design Rules for Two‐Dimensional Organic Semiconductor‐Incorporated Perovskites (OSiP) Gleaned from Thousands of Simulated Structures**

    Angewandte Chemie · 2023-06-12

    Zih‐Yu Lin, Jiaonan Sun, Stephen B. Shiring, Letian Dou, Brett Matthew Savoie

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  7. Emerging opportunities for hybrid perovskite solar cells using machine learning

    APL Energy · 2023-07-05

    Abigail R. Hering, Mansha Dubey, Marina S. Leite

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  8. Emerging Two-Dimensional Organic Semiconductor-Incorporated Perovskites─A Fascinating Family of Hybrid Electronic Materials

    Journal of the American Chemical Society · 2023-09-14

    Jiaonan Sun, Kang Wang, Ke Ma, Jee Yung Park, Zih‐Yu Lin, Brett Matthew Savoie, Letian Dou

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  9. Accelerated design of stable halide perovskite heterostructure film in hostile condition via surface modifier

    Organic Electronics · 2023-11-08

    Shenyue Li, Yiru Huang, Lei Zhang

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  10. NJmat: Data-Driven Machine Learning Interface to Accelerate Material Design

    Journal of Chemical Information and Modeling · 2024-08-12

    Yiru Huang, Lei Zhang, Hangyuan Deng, Junfei Mao

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  11. Language Model-Assisted Machine Learning, Photoelectrochemical, and First-Principles Investigation of Compatible Solvents for a CH3NH3PbI3 Film in Water

    ACS Applied Materials & Interfaces · 2024-09-16

    Yiru Huang, Shenyue Li, Wenguang Hu, Shaofeng Shao, Qingfang Li, Lei Zhang

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