Evolutionary Optimization of Graphene-Metal Metasurfaces for Tunable Broadband Terahertz Absorption

被引：52
|
作者：
Torabi, Elaheh Sadat [1 ]
Fallahi, Arya [2 ]
Yahaghi, Alireza [1 ]
机构：
[1] Shiraz Univ, Sch Elect & Comp Engn, Dept Commun & Elect Engn, Shiraz, Iran
[2] DESY, D-22607 Hamburg, Germany
来源：
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2017年 / 65卷 / 03期
关键词：
Absorber; broadband; frequency selective surface (FSS); graphene; random hill climbing optimization; terahertz (THz); tunable; FREQUENCY-SELECTIVE SURFACE; METAMATERIAL ABSORBERS;
D O I：
10.1109/TAP.2016.2647580
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Tunable terahertz absorbers based on graphene frequency selective surfaces are designed using well-established evolutionary optimization techniques. Randomly initialized hill climbing (RHC) algorithm is applied to find the design with the broadest bandwidth. The effects of three factors including the substrate loss, structuring the substrate and using double layer patches are examined. The optimum structure with broadest operation bandwidth consists of a perforated lossy substrate with a single layer patch and offers 1.95 THz absorption bandwidth around 2 THz central frequency leading to 100% fractional bandwidth.
引用
收藏
页码：1464 / 1467
页数：4
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