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Discovering ABO3-Type Perovskite with High Dielectric Constant via Unsupervised Learning
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Runlin LIU1, Changjiao LI2, Jian WANG2, Hanxing LIU1, Zhonghui SHEN1
Journal of the Chinese Ceramic Society | 2023, 51(2) : 367 - 372
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Journal of the Chinese Ceramic Society | 2023, 51(2): 367-372
• Research Articles •
Discovering ABO3-Type Perovskite with High Dielectric Constant via Unsupervised Learning
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Runlin LIU1, Changjiao LI2, Jian WANG2, Hanxing LIU1, Zhonghui SHEN1
Affiliations
  • 1.International School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China
  • 2.School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China
  • LIU Runlin (2001-), male, Master candidate. E-mail:

About Author:

LIU Runlin (2001-), male, Master candidate. E-mail:

Published: 2023-02-20 doi: 10.14062/j.issn.0454-5648.20220813
Outline
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Machine learning has become an important transformative method to explore novel materials, but the small sample size and high noise of material data bring a great challenge to data-driven research and development. To address the challenge, unsupervised learning was applied to discover perovskite materials with a high dielectric constant. Twenty perovskite materials with a high dielectric constant (i.e., BaHfO3 and BiFeO3) were screened out via iterative clustering. We performed dimensionality reduction analysis and descriptors analysis including elements, crystal structure and tolerance factors to find the underlying trend and the relationship between ABO3 structure and dielectric constant. This method can provide an idea for solving the lack of material data labels, which can be also applied to screen other novel functional materials.

dielectric constant  /  machine learning  /  perovskite materials  /  dielectrics
刘润林, 李长姣, 王建, 刘韩星, 沈忠慧. 无监督学习探索高介电常数的ABO3型钙钛矿材料. 硅酸盐学报, 2023 , 51 (2) : 367 -372 . DOI: 10.14062/j.issn.0454-5648.20220813
Runlin LIU, Changjiao LI, Jian WANG, Hanxing LIU, Zhonghui SHEN. Discovering ABO3-Type Perovskite with High Dielectric Constant via Unsupervised Learning[J]. Journal of the Chinese Ceramic Society, 2023 , 51 (2) : 367 -372 . DOI: 10.14062/j.issn.0454-5648.20220813
Year 2023 volume 51 Issue 2
32
4
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Article Info
doi: 10.14062/j.issn.0454-5648.20220813
  • Receive Date:2022-09-30
  • Online Date:2026-10-20
  • Published:2023-02-20
Article Data
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History
  • Received:2022-09-30
  • Revised:2022-11-24
Funding
Affiliations
    1.International School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China
    2.School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China

Corresponding:

SHEN Zhonghui (1991-), male, Ph.D, Associate Professor. E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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