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Studies on Perovskite Material and Its Applications via Machine Learning
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Yang HU1, Shengli ZHANG1, Wenhan ZHOU1, Gaoyu LIU1, Lili XU1, Wanjian YIN2, Haibo ZENG1
Journal of the Chinese Ceramic Society | 2023, 51(2) : 452 - 468
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Journal of the Chinese Ceramic Society | 2023, 51(2): 452-468
• Review •
Studies on Perovskite Material and Its Applications via Machine Learning
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Yang HU1, Shengli ZHANG1, Wenhan ZHOU1, Gaoyu LIU1, Lili XU1, Wanjian YIN2, Haibo ZENG1
Affiliations
  • 1.School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
  • 2.Soochow Inst Energy & Mat Innovat SIEMIS, Soochow University, Suzhou 215006, Jiangsu, China

    • HU Yang (1996-), female, Doctoral candidate. E-mail:

About Author:

HU Yang (1996-), female, Doctoral candidate. E-mail:

Published: 2023-02-20 doi: 10.14062/j.issn.0454-5648.20220776
Outline
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The methods of machine learning based on the data science can deal with the corresponding studies in different disciplines based on the data accumulated in theory and experiments. Machine learning promotes the development of data-intensive scientific discoveries, thus making it a "fourth paradigm" that leads to the related scientific research after "theory, calculation, and experimentation". Among different materials, perovskite material has some unique advantages of rich composition, adjustable band gap, and broad development space, but this material does not reach the practical standards such as environmental friendliness in applications. Therefore, the exploration of perovskite material and its applications based on machine learning can accelerate the discovery of novel perovskite material, and explore the relationship between the physical and chemical characteristics of perovskite material, therefore providing a guidance for the development of environmentally friendly high-performance perovskite devices. This review represented the research process of machine learning for perovskite material, summarized some research work on machine learning in perovskite material properties and device exploration, and discussed the existing difficulties and challenges. In addition, the future development direction and trend were also prospected.

perovskite materials  /  machine learning  /  material properties  /  photoelectric device
胡扬, 张胜利, 周文瀚, 刘高豫, 徐丽丽, 尹万健, 曾海波. 基于机器学习探索钙钛矿材料及其应用. 硅酸盐学报, 2023 , 51 (2) : 452 -468 . DOI: 10.14062/j.issn.0454-5648.20220776
Yang HU, Shengli ZHANG, Wenhan ZHOU, Gaoyu LIU, Lili XU, Wanjian YIN, Haibo ZENG. Studies on Perovskite Material and Its Applications via Machine Learning[J]. Journal of the Chinese Ceramic Society, 2023 , 51 (2) : 452 -468 . DOI: 10.14062/j.issn.0454-5648.20220776
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Year 2023 volume 51 Issue 2
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Article Info
doi: 10.14062/j.issn.0454-5648.20220776
  • Receive Date：2022-09-21
  • Online Date：2026-10-20
  • Published：2023-02-20
Article Data
Affiliations
History
  • Received：2022-09-21
  • Revised：2022-09-24
Funding
Affiliations
    1.School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
    2.Soochow Inst Energy & Mat Innovat SIEMIS, Soochow University, Suzhou 215006, Jiangsu, China

Corresponding:

ZENG Haibo (1977-), male, Ph.D., Professor; E-mail:
ZHANG Shengli (1984-), male, Ph.D., 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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