Suppr超能文献

基于石墨烯超表面的具有相反旋向性的可调谐反射式双波段线圆偏振转换器

Tunable reflective dual-band line-to-circular polarization convertor with opposite handedness based on graphene metasurfaces.

作者信息

Fu Yu, Wang Yueke, Yang Guofeng, Qiao Qi, Liu Yongqi

出版信息

Opt Express. 2021 Apr 26;29(9):13373-13387. doi: 10.1364/OE.423017.

Abstract

In this letter, we propose a dual-band tunable reflective linear-to-circular (LTC) polarization converter, which is composed of a graphene sheet etched with an I-shaped carved-hollow array. In the mid-infrared region, two LTC bands with opposite handedness are simultaneously realized due to the excitation of the three graphene surface plasmon (GSP) modes. The band of line-to-right-circular-polarization (LTRCP) ranges from 9.87 to 11.03THz with ellipticity χ <-0.95, and from 9.69 to 11.36 THz with an axial ratio of less than 3 dB; the band of line-to-left-circular-polarization (LTLCP) ranges from 13.16 to 14.43THz with χ >0.95, and from 12.79 to 14.61 THz with an axial ratio of less than 3 dB. The tunable responses of the reflective polarizer with Fermi energy (Ef) and electron scattering time (τ) are discussed, and especially the perfect LTLCP can be changed to LTRCP with increasing Ef. Also, the influences of geometric parameters, incident angle, and polarization angle on the performances of the dual-band LTC are also investigated, and it is found that our polarizer converter shows angle insensitivity. All simulation results are conducted by the finite element method. Our design enriches the research of tunable LTC polarizers and has potential applications in integrated terahertz systems.

摘要

在这封信中,我们提出了一种双波段可调谐反射型线性到圆偏振(LTC)转换器,它由蚀刻有I形镂空阵列的石墨烯片组成。在中红外区域,由于三种石墨烯表面等离子体(GSP)模式的激发,同时实现了两个具有相反旋向性的LTC波段。线到右旋圆偏振(LTRCP)波段范围为9.87至11.03太赫兹,椭圆率χ<-0.95,轴比小于3 dB时范围为9.69至11.36太赫兹;线到左旋圆偏振(LTLCP)波段范围为13.16至14.43太赫兹,χ>0.95,轴比小于3 dB时范围为12.79至14.61太赫兹。讨论了具有费米能量(Ef)和电子散射时间(τ)的反射型偏振器的可调谐响应,特别是随着Ef增加,完美的LTLCP可以变为LTRCP。此外,还研究了几何参数、入射角和偏振角对双波段LTC性能的影响,发现我们的偏振器转换器表现出角度不敏感性。所有模拟结果均通过有限元方法进行。我们的设计丰富了可调谐LTC偏振器的研究,并在集成太赫兹系统中具有潜在应用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验