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RESEARCH PAPER · Chinese Physics Letters · 2019

Machine Learning to Instruct Single Crystal Growth by Flux Method*

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16 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

Machine Learning to Instruct Single Crystal Growth by Flux Method*OriginalDisorder induced phase transition in magnetic higher-order topological insulator: A machine learning study*31Flux Growth of Phosphide and Arsenide Crystals40Photoluminescence in wide band gap corundum Mg4Ta2O9 single crystals*3Determining the temperature in heavy-ion collisions with multiplicity distribution32Bidirectional Information Flow Quantum State Tomography3Machine Learning Kinetic Energy Functional for a One-Dimensional Periodic System5Predictive Synthesis54Importance of raw material features for the prediction of flux growth of Al 2 O 3 crystals using machine learning3Recent progress in generative adversarial networks applied to inversely designing inorganic materials: A brief review50Adaptive genetic algorithm-based design of gamma-graphyne nanoribbon incorporating diamond-shaped segment with high thermoelectric conversion efficiency7Development of a Flux-Method Process Informatics System and Its Application in Growth Control for Layered Perovskite Ba 5 Nb 4 O 15 Crystals3AI-driven inorganic materials by design0Progress of Machine Learning in Molecular Crystal Design and Crystallization Development11Machine learning in crystal growth: A review of methods, data, and applications11Machine learning exploration of YBCO thin film growth parameters under small data constraint0Modeling Single-Crystal Battery Materials: From Fundamental Understanding to Performance Evaluation4

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  1. Disorder induced phase transition in magnetic higher-order topological insulator: A machine learning study*

    Chinese Physics B · 2019-09-18

    Zixian Su, Yan-Zhuo Kang, Bofeng Zhang, Zhiqiang Zhang, Hua Wei Jiang

    Read original paper ↗ ·
  2. Flux Growth of Phosphide and Arsenide Crystals

    Frontiers in Chemistry · 2020-04-02

    Jian Wang, Philip Yox, Kirill A. Kovnir

    Read original paper ↗ ·
  3. Photoluminescence in wide band gap corundum Mg4Ta2O9 single crystals*

    Chinese Physics B · 2020-04-17

    Liang Li, Yu-Lu Zheng, Yuxin Hu, Fangfei Li, Qiang Zhou, Tian Shu Cui

    Read original paper ↗ ·
  4. Determining the temperature in heavy-ion collisions with multiplicity distribution

    Physics Letters B · 2021-01-18

    Yi-Dan Song, Rui Wang, Y. G., Xian-Gai Deng, Huanling Liu

    Read original paper ↗ ·
  5. Bidirectional Information Flow Quantum State Tomography

    Chinese Physics Letters · 2021-05-01

    Huikang Huang, Haozhen Situ, Shenggen Zheng

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  6. Machine Learning Kinetic Energy Functional for a One-Dimensional Periodic System

    Chinese Physics Letters · 2021-06-01

    Hong-Bin Ren, Lei Wang, Xi Dai

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  7. Predictive Synthesis

    Chemistry of Materials · 2021-07-02

    Kirill A. Kovnir

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  8. Importance of raw material features for the prediction of flux growth of Al 2 O 3 crystals using machine learning

    CrystEngComm · 2022-01-01

    Tetsuya Yamada, Takanori Watanabe, Kazuaki Hatsusaka, Jianjun Yuan, Michihisa Koyama, Katsuya Teshima

    Read original paper ↗ ·
  9. Recent progress in generative adversarial networks applied to inversely designing inorganic materials: A brief review

    Computational Materials Science · 2022-07-01

    Rahma Jabbar, Rahma Jabbar, Rateb Jabbar, Rateb Jabbar, S. Kamoun

    Read original paper ↗ ·
  10. Adaptive genetic algorithm-based design of gamma-graphyne nanoribbon incorporating diamond-shaped segment with high thermoelectric conversion efficiency

    Chinese Physics B · 2023-01-31

    Jingyuan Lu, Chunfeng Cui, Tao Ouyang, Jin Li, Chaoyu He, Chao Wei Tang, Jianxin Zhong

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  11. Development of a Flux-Method Process Informatics System and Its Application in Growth Control for Layered Perovskite Ba 5 Nb 4 O 15 Crystals

    Crystal Growth & Design · 2023-10-24

    Tetsuya Yamada, Hiromasa Kaneko, Fumitaka Hayashi, Tatsuya Doi, Michihisa Koyama, Katsuya Teshima

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  12. AI-driven inorganic materials by design

    Unknown journal · 2024-01-01

    Ruiming Zhu

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  13. Progress of Machine Learning in Molecular Crystal Design and Crystallization Development

    Engineering · 2025-06-04

    Shengzhe Jia, Yiming Ma, Yuechao Cao, Zhenguo Gao, Sohrab Rohani, Junbo Gong, Jingkang Wang

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  14. Machine learning in crystal growth: A review of methods, data, and applications

    Progress in Crystal Growth and Characterization of Materials · 2025-11-01

    Milena Petković, Lucas B. Vieira, Natasha Dropka

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  15. Machine learning exploration of YBCO thin film growth parameters under small data constraint

    Acta Physica Sinica · 2026-01-01

    Xin Wang, Jiquan Zhang, Chenzhihang Li, Jinsheng Ren, Yutong Wang, Yuting Zhang, Juncheng Xiao, Lihong Yang, Xingyu Jiang, Jie Yuan

    Read original paper ↗ ·
  16. Modeling Single-Crystal Battery Materials: From Fundamental Understanding to Performance Evaluation

    Chemical Reviews · 2026-01-05

    Suyue Yuan, Stephen Eric Weitzner, Wonseok Jeong, Shenli Zhang, Bo Wang, Longsheng Feng, Jonas L. Kaufman, Kwangnam Kim, Yue Qi, Liwen F. Wan

    Read original paper ↗ ·