Grain Characteristics of Perovskite Thin Films Based on SEM Image Segmentation

被引:2
|
作者
Yang, Simiao [1 ,2 ]
Song, Qing [1 ,2 ]
Chao, Lingfeng [3 ]
Li, Deli [1 ,2 ]
Wang, Yue [1 ,2 ]
机构
[1] Fujian Normal Univ, Strait Inst Flexible Elect, SIFE Future Technol, Fuzhou 350117, Peoples R China
[2] Strait Lab Flexible Elect SLoFE, Fuzhou 350117, Peoples R China
[3] Nanjing Tech Univ, Inst Adv Mat, Nanjing 210037, Peoples R China
基金
中国国家自然科学基金;
关键词
grain; image segmentation; lognormal distribution; perovskite solar cell; SOLAR-CELLS; MICROSTRUCTURES; STABILITY; GROWTH;
D O I
10.1002/adts.202300619
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Perovskite solar cells (PSCs) have become the forefront and hot pot of new photovoltaic technology due to their high efficiency, low cost, and easy preparation. Understanding the microstructure characteristics of the perovskite films is one of the key factors to further improve the efficiency and stability. The characteristics of grains based on the self-developed perovskite film morphology analysis software GrainD are studied in this article. Important perovskite film information such as the average radius of grains, the distribution pattern of grain size, the area of grain contact, and the total number of grains are obtained. The results show that the grain size distribution of the polycrystalline perovskite film follows the lognormal distribution. According to statistical probability theory and grain growth theory, the multiplication effect of multiple random factors of film growth is proposed as the reason for the lognormal distribution. This study provides an important method for analyzing the perovskite films and gives clues about the crystallization kinetics. A self-developed thin film morphology analysis software GrainD is provided for free use and a lognormal grain size distribution of the polycrystalline perovskite thin films is confirmed based on the SEM Images. image
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页数:10
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