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Research Progress on Dielectric Ceramics and Devices Within Data-Driven Paradigm
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Jincheng QIN1, 2, Zhifu LIU1, 2, Mingsheng MA1, 2, Yongxiang LI1
Journal of the Chinese Ceramic Society | 2023, 51(4) : 921 - 933
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Journal of the Chinese Ceramic Society | 2023, 51(4): 921-933
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Research Progress on Dielectric Ceramics and Devices Within Data-Driven Paradigm
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Jincheng QIN1, 2, Zhifu LIU1, 2, Mingsheng MA1, 2, Yongxiang LI1
Affiliations
  • 1.CAS Key Laboratory of Inorganic Functional Materials and Devices, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201899, China
  • 2.Center of Materials Sciences and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • QIN Jincheng (1995-), male, Doctoral candidate. E-mail:

About Author:

QIN Jincheng (1995-), male, Doctoral candidate. E-mail:

Published: 2023-04-20 doi: 10.14062/j.issn.0454-5648.20220722
Outline
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Data-driven methods including machine learning are widely used in materials properties prediction and devices design due to their abilities to discover the underlying statistical correlations from data, achieve target prediction efficiently and accurately, and assist in the analysis of physical images behind the data. In recent years, machine learning modeling in the research of dielectric ceramics and devices becomes popular. Recent development on the research of machine learning prediction models for key properties (i.e., dielectric constant and quality factor of microwave dielectric ceramics) was represented. Machine learning methods in dimensional optimization, failure analysis, etc. for antennas and filters were also introduced. In addition, some prospects of data-driven studies in materials and devices were also provided.

data-driven paradigm  /  machine learning  /  microwave dielectric ceramics  /  dielectric properties  /  microwave devices
秦锦成, 刘志甫, 马名生, 李永祥. 数据驱动范式下微波介质陶瓷材料及器件研究进展. 硅酸盐学报, 2023 , 51 (4) : 921 -933 . DOI: 10.14062/j.issn.0454-5648.20220722
Jincheng QIN, Zhifu LIU, Mingsheng MA, Yongxiang LI. Research Progress on Dielectric Ceramics and Devices Within Data-Driven Paradigm[J]. Journal of the Chinese Ceramic Society, 2023 , 51 (4) : 921 -933 . DOI: 10.14062/j.issn.0454-5648.20220722
Year 2023 volume 51 Issue 4
26
3
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Article Info
doi: 10.14062/j.issn.0454-5648.20220722
  • Receive Date:2022-09-02
  • Online Date:2026-10-20
  • Published:2023-04-20
Article Data
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History
  • Received:2022-09-02
  • Revised:2022-10-09
Funding
Affiliations
    1.CAS Key Laboratory of Inorganic Functional Materials and Devices, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201899, China
    2.Center of Materials Sciences and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Corresponding:

LIU Zhifu (1975-), male, Ph.D., Professor. E-mail:
MA Mingsheng (1986-), male, Ph.D., Associate Professor.
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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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