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Proceedings Paper

Modeling and simulation of light reflection and transmission characteristics of electrically modulated infrared nano-apexes
Author(s): Bo Zhang; Dong Wei; Chai Hu; Wenhai Huang; Xinyu Zhang
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Paper Abstract

As demonstrated, surface plasmons (SPs) stimulated by incident lightwaves are one of the most popular research fields, currently. The researches about the remarkable generation and efficient transmission and effective manipulation of relatively strong SPs are generally limited by a range constraint of wavelength or sub-wavelength-scaled structures. So far, the interaction between the electromagnetic field and the free electrons over the metal and medium interface or special metal micro-nano-structure has been mainly studied. In reality, a type of adjustable ionic exciter device is needed, which lead to a new focus about the adjustable ionic exciter materials. At present, two-dimensional graphene materials already demonstrate several excellent optical and electrical properties, and their conductivity and dielectric constant can be easily affected by external bias electric field, so as to exhibit a prospect as a kind of basic materials for adjustable and other excitation components. In this paper, the adjustable properties of single crystal graphene are studied. The effects based on the factors including the temperature and the scattering rate and the chemical potential corresponding to some parameters such as the conductivity and dielectric constant of graphene are analyzed carefully. In addition, the composite structure of the graphene grating nano-apexes is designed, which is characterized based on the multi-frequency points resonance according to incident light at the waveband of 4~11μm. The key graphene-based structure is modeled and simulated by the FDTD solution based on a finite difference time domain method under the different chemical potential. Then, the transmission and reflection and absorption behaviors of the graphene-based structure were analyzed according to the near electric field intensity distribution curves.

Paper Details

Date Published: 14 February 2020
PDF: 8 pages
Proc. SPIE 11428, MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis, 114280C (14 February 2020); doi: 10.1117/12.2539325
Show Author Affiliations
Bo Zhang, National Key Lab. of Science & Technology on Multispectral Information Processing (China)
Huazhong Univ. of Science and Technology (China)
Dong Wei, National Key Lab. of Science & Technology on Multispectral Information Processing (China)
Huazhong Univ. of Science and Technology (China)
Chai Hu, National Key Lab. of Science & Technology on Multispectral Information Processing (China)
Huazhong Univ. of Science and Technology (China)
Wenhai Huang, National Key Lab. of Science & Technology on Multispectral Information Processing (China)
Huazhong Univ. of Science and Technology (China)
Xinyu Zhang, National Key Lab. of Science & Technology on Multispectral Information Processing (China)
Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11428:
MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Chao Pan; Hongshi Sang, Editor(s)

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