期刊
OPTICAL MATERIALS
卷 133, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.optmat.2022.112956
关键词
Order -disorder control; Pair -correlation function; Laser -induced periodic surface structures; Nanoparticle; Surface ripple
资金
- Human Resources Program in En- ergy Technology of the Korea Institute of Energy Technology Evaluation and Planning (KETEP)
- Ministry of Trade, Industry & Energy, Republic of Korea [20204030200070]
- Korea Evaluation Institute of Industrial Technology (KEIT) [20204030200070] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
The ordering of Si nanoparticles formed on an amorphous-Si thin film was investigated under laser irradiations. The nanoparticle arrangement was found to vary depending on the laser fluences, incident angles, and polarizations. The results can be used to control the device performance in electronic or photovoltaic substrates.
Ordering of Si nanoparticles formed on an amorphous-Si thin film via laser irradiations was examined in terms of laser fluences, incident angles, and polarizations. The Si nanoparticles were created through two-dimensional scans of an ultraviolet nanosecond laser with a Gaussian beam. The arrangements of the nanoparticles varied significantly depending on the polarization at off-normal incidence. To perform quantitative analysis, an edge detection algorithm (the Hough transform method) was used to extract the nanoparticle size and position data from secondary electron microscopy images, and the nanoparticle distribution and ordering were estimated through the pair-correlation function. At normal incident angle, the Si nanoparticles were well ordered along the polarization direction, whereas for off-normal incidence at 30, the Si nanoparticles were significantly disordered at polarization angles below 90 (out-of-plane) but ordered at the polarization angle of 90. These features were interpreted in terms of the Rayleigh anomaly condition and competition between two wave vectors at off-normal incidence. The features can be applied to control the device performance in substrates for electronic or photo-voltaic devices via nanoparticle ordering.
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