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首页> 中文期刊> 《中国物理快报：英文版》 >Machine Learning to Instruct Single Crystal Growth by Flux Method

Machine Learning to Instruct Single Crystal Growth by Flux Method

         
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摘要

Growth of high-quality single crystals is of great significance for research of condensed matter physics.The exploration of suitable growing conditions for single crystals is expensive and time-consuming,especially for ternary compounds because of the lack of ternary phase diagram.Here we use machine learning (ML) trained on our experimental data to predict and instruct the growth.Four kinds of ML methods,including support vector machine (SVM),decision tree,random forest and gradient boosting decision tree,are adopted.The SVM method is relatively stable and works well,with an accuracy of 81 ％ in predicting experimental results.By comparison,the accuracy of laboratory reaches 36％.The decision tree model is also used to reveal which features will take critical roles in growing processes.

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  • 来源
    《中国物理快报：英文版》 |2019年第6期|98-102|共5页
  • 作者

    Tang-Shi Yao; Le Wang; Lei Wang; You-Guo Shi; Yu-Jie Sun; Hong Ding; Cen-Yao Tang; Meng Yang; Ke-Jia Zhu; Da-Yu Yan; Chang-Jiang Yi; Zi-Li Feng; He-Chang Lei; Cheng-He Li;

  • 作者单位

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    CAS Centre for Excellence in Topological Quantum Computation;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Songshan Lake Materials Laboratory;

    Dongguan 523808;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    CAS Centre for Excellence in Topological Quantum Computation;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Songshan Lake Materials Laboratory;

    Dongguan 523808;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics;

    Chinese Academy of Sciences;

    Beijing 100190;

    University of Chinese Academy of Sciences;

    Beijing 100049;

    Department of Physics and Beijing Key Laboratory of Opto-electronic Functional Materials and Micro-nano Devices;

    Renmin University;

    Beijing 100872;

    Department of Physics and Beijing Key Laboratory of Opto-electronic Functional Materials and Micro-nano Devices;

    Renmin University;

    Beijing 100872;

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  • 正文语种 eng
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