Impact of truncation on absorption spectra in graphene-based random photonic crystal

IF 1.3 4区 材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY
Pulimi Mahesh, C. Nayak, Damodar Panigrahy
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引用次数: 1

Abstract

The present study investigates the influence of randomness on getting multi-mode broadband and narrowband absorption of graphene-embedded photonic structures. In the first proposed photonic configuration, with the change in randomness parameter, it is possible to get single, multi-mode broadband absorption up to 0.8. This value was further enhanced up to 0.99 by varying the Fermi-level to −0.9 eV. The position of absorption peaks can be tuned by varying thickness of the silicon carbide layer. Further, an investigation is carried out on the influence of adding a defective periodic PC to the first photonic configuration, which provided a multi-mode narrowband absorption with a value up to 0.99 and the strength and location of absorption peaks can be altered to the desired value by changing the graphene’s Fermi level and thickness of the silicon carbide layer. Finally, the authors also survey the influence of magnetic field B on the absorption behaviour of LCP and RCP waves. The results indicate that the FWHM of absorption peaks expanded with applying a positive magnetic field for LCP waves, whereas it shrinks for RCP waves. It has applications in the design of tunable broadband, narrowband absorbers, and sensors.
截断对石墨烯基随机光子晶体吸收光谱的影响
本文研究了随机性对石墨烯嵌入光子结构多模宽带和窄带吸收的影响。在第一种提出的光子结构中,随着随机参数的变化,有可能获得高达0.8的单模、多模宽带吸收。当费米能级为- 0.9 eV时,该值进一步提高到0.99。吸收峰的位置可以通过改变碳化硅层的厚度来调节。此外,研究了在第一光子结构中加入缺陷周期PC的影响,该结构提供了一个多模窄带吸收,其值高达0.99,并且可以通过改变石墨烯的费米能级和碳化硅层的厚度来改变吸收峰的强度和位置。最后,研究了B磁场对LCP波和RCP波吸收特性的影响。结果表明,对LCP波施加正磁场时,吸收峰的频宽增大,对RCP波施加正磁场时,吸收峰的频宽减小。它在可调谐宽带、窄带吸收器和传感器的设计中都有应用。
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来源期刊
Emerging Materials Research
Emerging Materials Research MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
4.50
自引率
9.10%
发文量
62
期刊介绍: Materials Research is constantly evolving and correlations between process, structure, properties and performance which are application specific require expert understanding at the macro-, micro- and nano-scale. The ability to intelligently manipulate material properties and tailor them for desired applications is of constant interest and challenge within universities, national labs and industry.
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