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Efficient Dispersive GSTC-FDTD Algorithm Using the Drude Dispersion Modelopen access

Authors
Jang, SangeunCho, JeahoonJung, Kyung-Young
Issue Date
Jun-2022
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Dispersion; Metasurfaces; Finite difference methods; Time-domain analysis; Mathematical models; Computational modeling; Numerical models; Computational electromagnetics; dispersion; finite difference methods
Citation
IEEE ACCESS, v.10, pp.59486 - 59494
Indexed
SCIE
SCOPUS
Journal Title
IEEE ACCESS
Volume
10
Start Page
59486
End Page
59494
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/170091
DOI
10.1109/ACCESS.2022.3180505
ISSN
2169-3536
Abstract
Metasurfaces are artificial sheets with sub-wavelength thickness and they are two-dimensional equivalents of metamaterials. The generalized sheet transition conditions (GSTCs) have been recently proposed for electromagnetic analysis of the metasurfaces. In GSTCs, the metasurface is generally modeled as a sheet with zero-thickness. However, the conventional finite-difference time-domain (FDTD) method is not straightforwardly applied to analyze electromagnetic wave propagation in the metsurface by harnessing GSTCs because GSTCs exhibit electric and magnetic discontinuities. Alternatively, the GSTC-FDTD formulation is highly suitable for analyzing the electromagnetic properties of metasurfaces by introducing electric and magnetic virtual grids. Meanwhile, metasurfaces can be realized by using 2-D materials such as black phosphorus and thus the dispersion characteristics of metasurfaces should be considered. In this work, we propose an efficient dispersive GSTC-FDTD algorithm by employing the Drude dispersion model. Moreover, for the first time, the numerical surface susceptibility inherent to the dispersive GSTC-FDTD formulation is derived and its numerical accuracy is investigated. Numerical examples illustrate high efficiency of the proposed Drude-dispersive GSTC-FDTD algorithm.
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COLLEGE OF ENGINEERING (SCHOOL OF ELECTRONIC ENGINEERING)
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