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RESEARCH PAPER · Materials Today Communications · 2023

Bandgap prediction of ABX3-type perovskites using Broad Learning System

Tian Tian, Tao Li, Gen Li, Fuchong Hao, Rong Tang, Zifan Yuan, Xueqin Liu

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Bandgap prediction of ABX3-type perovskites using Broad Learning SystemOriginalTheoretical and experimental elucidation of synergistic enhanced piezo-photocatalysis and mechanism of BiVO4 for organic pollutant degradation38Numerical Modeling and DFT Study for a CsPbCl3 Lead-Based Perovskite Solar Cell Using Zn-Doped Cu2O as HTL11Quantum Circuit Learning for Predicting Nature of Band Gap of Perovskite Oxides3Quantum machine learning for ABO3 perovskite structure prediction18Predicting lattice constant in ABX3 perovskite via quantum machine learning7Broad learning systems: An overview of recent advances, applications, challenges and future directions6Bandgap prediction for perovskite materials based on symbolic-neural hybrid modeling1Enhanced quantum support vector regression with quantum kernels and virtual sampling for ABX3 perovskite formation energy2Data-driven materials discovery for inverted perovskite solar cells: machine learning in screening, design, and performance optimization0Generalizable machine-learned interatomic potential for all-inorganic halide double perovskites1Quantum and classical machine learning for perovskite bandgap learning and solar cell performance analysis0Prediction of bandgap at the cation site in organic perovskite materials using context axial discrete Hopfield reverse attention neural network0

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12 direct citing papers saved.

  1. Theoretical and experimental elucidation of synergistic enhanced piezo-photocatalysis and mechanism of BiVO4 for organic pollutant degradation

    Materials Research Bulletin · 2023-10-06

    Qianfei Ma, Jinyuan Ma, Xiaofeng Sun, Xiujuan Chen, Guorong Liu, Hua Yang

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  2. Numerical Modeling and DFT Study for a CsPbCl3 Lead-Based Perovskite Solar Cell Using Zn-Doped Cu2O as HTL

    Journal of Inorganic and Organometallic Polymers and Materials · 2024-08-13

    Mohamed Amine Hachimi, Amal Tarbi, Mariam El-Mrabet, H. Erguig, Tarek Chtouki

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  3. Quantum Circuit Learning for Predicting Nature of Band Gap of Perovskite Oxides

    SSRN Electronic Journal · 2025-01-01

    Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, Ryo Maezono, Hideaki Kasai

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  4. Quantum machine learning for ABO3 perovskite structure prediction

    Computational Materials Science · 2025-01-16

    Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, Ryo Maezono, Hideaki Kasai

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  5. Predicting lattice constant in ABX3 perovskite via quantum machine learning

    Computational Materials Science · 2025-04-07

    Muhamad Akrom, Supriadi Rustad, Pulung Nurtantio Andono, Guruh Fajar Shidik, Hermawan Kresno Dipojono, Ryo Maezono, Hideaki Kasai

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  6. Broad learning systems: An overview of recent advances, applications, challenges and future directions

    Neurocomputing · 2025-05-09

    Yonghe Chu, Yan Long Guo, Weiping Ding, Heling Cao, Peng Ping

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  7. Bandgap prediction for perovskite materials based on symbolic-neural hybrid modeling

    Materials Today Energy · 2025-10-11

    Jufeng Han, Shu Wei, Xiangyu Ren, Lina Yu, Linjun Sun, Shizhong Yued, Weijun Li, Min Wu, Hong Qin

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  8. Enhanced quantum support vector regression with quantum kernels and virtual sampling for ABX3 perovskite formation energy

    Expert Systems with Applications · 2025-12-13

    Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, Ryo Maezono, Hideaki Kasai

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  9. Data-driven materials discovery for inverted perovskite solar cells: machine learning in screening, design, and performance optimization

    Journal of Materials Chemistry A · 2026-01-01

    Xing Qiang Zhao, Xiaohang Hao, Min Wang, Yu Zhang, Junjie Zhou, Bingbing Fan, Meicheng Li

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  10. Generalizable machine-learned interatomic potential for all-inorganic halide double perovskites

    Physical Review Materials · 2026-05-01

    Zachary J. L. Bare, Nima Karimitari, John T. Barber, Charles B. Musgrave, Christopher Sutton

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  11. Quantum and classical machine learning for perovskite bandgap learning and solar cell performance analysis

    Physica Scripta · 2026-06-05

    J K Chen, Weifeng Xie, Min Wang, Tiege Zhou, Wendong Song, Xiang Yin, Yunliang Yue

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  12. Prediction of bandgap at the cation site in organic perovskite materials using context axial discrete Hopfield reverse attention neural network

    Journal of Materials Science · 2026-10-12

    Nguyen Tri Chan Hung, Malrey Lee

    Read original paper ↗ ·
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