journal article·2019-12

Enhancing Tunability of EIT in Plasmonic Split Disk Resonator Using Graphene and Fused Silica

Maryam Khalili Azimi, Hassan Rasooli Saghai

Plasmonics· Volume 14· Issue 6
Publisher page

Abstract

Terahertz (THz) wave technology has attracted a significant number of researchers; however, it requires fundamental research and development compared with near-infrared and microwaves. The big challenge in terahertz technology is to find the material that provides a powerful response. The terahertz wave absorption has inspired researchers for the further research in this area, due to its many applications in various sciences such as material identification, medicine, and security. The present discussion is mainly about the general overview of electromagnetically induced transparency (EIT), metamaterial, tunable band-pass filter, graphene, nano, fused silica, and alumina oxide. In fact, we designed and simulated a graphene-based band-pass filter with a tunable cut-off wavelength in which an intermediate layer is first filled with fused silica and then with alumina oxide along with graphene disks. The results were obtained to improve filter function and response at the terahertz frequency as well as short wavelengths at a numerical range of 1.55 μm in a highly sensitive and accurate range for both modes. And optimal results were obtained to improve filter performance as well as filter response at the mentioned range. Then, in the first case, for the innovation in the use of graphene disks and fused silica, the precision is 1.54 to 1.58 μm. In the second innovation with graphene disks and alumina oxide, the numerical range is for a wavelength of 1.52 to 1.72 μm. Therefore, in the present study, by changing the chemical potential of graphene even after the completion of the desired design, the cut-off wavelength, and eventually, the tunable EIT were obtained in the band-pass filter.
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Research context

OpenAlex topics: Plasmonic and Surface Plasmon Research · Photonic and Optical Devices · Photonic Crystals and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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