Design and performance of a dual-band plasmonic perfect absorber for infrared refractive index sensing

被引:1
|
作者
Zahra, Tazeen [1 ]
Mohemine, M. Abdul [1 ]
Syed, Aqeel A. [1 ]
Liu, Fengguang [2 ]
Ali, Wajid [3 ]
Muhammad, Zahir [2 ]
机构
[1] Quaid I Azam Univ, Dept Elect, Islamabad 45320, Pakistan
[2] Beihang Univ, Hefei Innovat Res Inst, Sch Integrated Circuit Sci & Engn, Hefei 230013, Peoples R China
[3] Hunan Univ, Hunan Inst Optoelect Integrat, Coll Mat Sci & Engn, Changsha 410082, Peoples R China
关键词
31;
D O I
10.1364/AO.538911
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In this study, we introduce what we believe is an innovative design for a plasmonic perfect absorber (PPA) that is based on half-cut disk resonator metamaterials. This design exhibits remarkable stability and versatility, demonstrating effective functionality across a wide range of incident angles for both transverse electric (TE) and transverse magnetic (TM) polarization. The distinct operational characteristics of the PPA are highlighted by the presence of two corresponding absorption peaks at wavelengths of 870 and 1599 nm, where it achieves outstanding maximum absorption rates of 98.99% and 97.5%, respectively. The design's ultra-narrow resonance peaks are indicative of its high-quality factors, which are vital for enhancing sensitivity in plasmonic sensory applications. This characteristic renders our PPA an exceptional candidate for refractive index (RI) sensing, where precision is critical. The dualband perfect absorber (PA)-based sensor demonstrates significant RI sensitivity, with values approximately equal to 365 nm/RIU at the first absorption peak and 733 nm/RIU at the second. Our findings elucidate the exceptional potential inherent in this novel dual-band perfect absorber design. The versatility and efficiency across varied applications not only contribute to the existing body of knowledge but also pave the way for future advancements in plasmonic sensor technologies and metamaterial research. (c) 2024 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.
引用
收藏
页码:7796 / 7801
页数:6
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