1D randomised photonic crystals: the influence as single and dual channel narrowband filter

IF 1.3 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY

Emerging Materials Research Pub Date : 2022-06-01 DOI:10.1680/jemmr.21.00178

L. R., P. Aruna Priya, C. Nayak

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引用次数: 0

Abstract

Nowadays, optical filters with high-level performances are highly demanded. While examining the light transmission properties of both periodic and random one-dimensional photonic crystals, it is observed that the random 1D photonic structures have more favorable properties to meet these demands. With the influence of randomness, the novel single and dual-channel narrowband filters at 1550 nm wavelength for optical telecommunication are presented in this study. For designing the narrowband filters, the central wavelength precision, quality factor, and peak transmission are of great importance. The randomness can be attained by permuting the refractive indices of two dielectric materials via the binomial coefficient method. Wherein the light transmission properties are calculated using the Transfer Matrix Method. The proposed filters show ultra-narrowband transmission peaks with the very minimum Full Width at Half Maximum of 0.24 nm in the single-channel narrowband filter; 0.08 nm and 0.095 nm in the dual-channel narrowband filter at the chosen spectral region than the existing narrowband filters based on the defective 1D photonic structures.

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一维随机光子晶体:单双通道窄带滤波器的影响

如今，对具有高性能的滤光器的要求很高。在研究周期性和随机一维光子晶体的光传输特性时，观察到随机一维光子结构具有更有利的特性来满足这些要求。在随机性的影响下，1550的新型单通道和双通道窄带滤波器 nm波长的光通信。对于窄带滤波器的设计，中心波长精度、品质因数和峰值传输是非常重要的。随机性可以通过二项式系数法对两种介电材料的折射率进行排列来获得。其中，使用传递矩阵法计算光传输特性。所提出的滤波器显示出超窄带传输峰值，在半最大值处的最小全宽为0.24 nm；0.08 nm和0.095 nm，而不是基于有缺陷的1D光子结构的现有窄带滤波器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Emerging Materials Research MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

4.50

自引率

9.10%

发文量

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.