Two-Stage Perfectly Matched Layer for the Analysis of Plasmonic Structures

Jung, Kim Hyun; Ju, Shenghong; Teixeira, F.L.

doi:10.1587/transele.e93.c.1371

Cited by 4 publications

(4 citation statements)

References 25 publications

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“…In this case, the plasmonic OPV is simulated by replacing the PBC by the two-stage PML [21] in the lateral regions. Figure 3 shows FIRs for various radii.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Plasmonic effect is quantitatively estimated using a field intensity ratio (FIR) - Before proceeding with plasmonic OPVs that are based on the hexagonal periodicity of Ag nanospheres in three-layered media, we analyze a plasmonic OPV based on a single Ag nanosphere in three-layered media. In this case, the plasmonic OPV is simulated by replacing the PBC by the two-stage PML [21] in the lateral regions. Figure 3 shows FIRs for various radii.…”

Section: Numerical Resultsmentioning

confidence: 99%

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Broadband Finite‐Difference Time‐Domain Modeling of Plasmonic Organic Photovoltaics

et al. 2014

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We develop accurate finite-difference time-domain (FDTD) modeling of polymer bulk heterojunction solar cells containing Ag nanoparticles between the holetransporting layer and the transparent conducting oxidecoated glass substrate in the wavelength range of 300 nm to 800 nm. The Drude dispersion modeling technique is used to model the frequency dispersion behavior of Ag nanoparticles, the hole-transporting layer, and indium tin oxide. The perfectly matched layer boundary condition is used for the top and bottom regions of the computational domain, and the periodic boundary condition is used for the lateral regions of the same domain. The developed FDTD modeling is employed to investigate the effect of geometrical parameters of Ag nanospheres on electromagnetic fields in devices. Although negative plasmonic effects are observed in the considered device, absorption enhancement can be achieved when favorable geometrical parameters are obtained. Keywords: FDTD, organic photovoltaics, plasmonics.Manuscript received Aug. 6, 2013; revised Nov. 27, 2013; accepted Dec. 16, 2013 [17] has been widely employed because of its accuracy, robustness, and matrix-free characteristics. Moreover, a single FDTD simulation can compute a wideband response by using a Fourier transform, since it is a time-domain method. In FDTD, the frequency-dependent permittivity of materials in plasmonic OPVs should be incorporated by an appropriate dispersion model. However, the previous FDTD analyses have not considered dispersive properties of OPV materials due to the difficulty involved in doing so. In fact, because the real part of the relative permittivity of Ag is negative, a dispersive FDTD algorithm should be applied to Ag so that the resulting FDTD algorithm does not suffer from instability. dispersive FDTD for Ag and a non-dispersive FDTD for other OPV materials (with the corresponding permittivity and conductivity at a specific wavelength), which leads to overwhelming computational costs. Therefore, it is of great interest to develop accurate FDTD dispersive modeling for the optical analysis of plasmonic OPVs. In this work, we develop -based on the Drude dispersion model -FDTD dispersive modeling for plasmonic OPVs. The perfectly matched layer (PML) [18]-[19] and the periodic boundary condition (PBC) [14] are used for the termination and lateral regions of the computational domain, respectively. We also employ the proposed FDTD algorithm to investigate the effect of the geometrical parameters of Ag nanospheres on electromagnetic fields in the photoactive layer. It is worth noting that the purpose of this paper is to develop FDTD dispersive modeling suitable for plasmonic OPVs, not to optimize plasmonic OPVs for improved performance. II. FDTD ModelingWe consider polymer:fullerene bulk heterojunction (BHJ) solar cells. For the plasmonic structure, the self-assembled Ag nanospheres are formed between the indium tin oxide (ITO)-coated glass substrate and the poly(3, 4-ethylene dioxythiophene) polystyrene sulfonate (PEDOT:PSS) -the latter ac...

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“…In this case, the plasmonic OPV is simulated by replacing the PBC by the two-stage PML [21] in the lateral regions. Figure 3 shows FIRs for various radii.…”

Section: Numerical Resultsmentioning

confidence: 99%

Section: Numerical Resultsmentioning

confidence: 99%

Broadband Finite‐Difference Time‐Domain Modeling of Plasmonic Organic Photovoltaics

et al. 2014

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“…1994년 Berenger에 의해 제안된 PML(Perfectly Matched Layer) [36] 은 하나의 필드 성분을 두 개의 수직 성분으 로 나누어 표현하는 Split-Field로 구현해 주파수와 입사각 에 무관하게 이론적으로 완전한 흡수 성능을 가진다. 따 라서 PML은 분산 특성이 강한 복합 매질 해석에 매우 유 용하게 사용된다 [37] . 한편, Kuzuoglu와 Mittra는 기존 PML 의 단점을 극복하는 CFS(Complex Frequency Shifted) PML 을 제안하였다 [38] .…”

Section: ⅳ 흡수 경계 조건unclassified

Dispersive FDTD Modeling of Human Body

Ha¹,

Jung²

2020

J. Korean Inst. Electromagn. Eng. Sci.

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Herein, we review the dispersive finite-difference time-domain(FDTD) modeling of the human body for analyzing its interaction with electromagnetic waves. We discuss the dispersive modeling of 78 human tissues using the Debye model, Lorentz model, Cole-Cole model, Davidson-Cole model, Havriliak-Negami model, two-pole complex rational function(CRF) model, and four-pole CRF model. Subsequently, we review a method that applies the dispersion model to the FDTD algorithm. Moreover, we discuss the computational human phantom of the Virtual Family tool and the media method for the geometric structure of the human body.

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“…Also, by employing complex stretching variables in spatial derivatives, one can straightforwardly implement the perfectly matched layer boundary conditions (Chew, 1995;Gedney, Liu, Roden, & Zhu, 2001;Jung, Ju, & Teixeira, 2010;Jung, Teixeira, & Lee, 2007;Teixeira & Chew, 1999).…”

Section: Conventional Qcrfmentioning

confidence: 99%

Accurate FDTD modelling for dispersive media using rational function and particle swarm optimisation

Chung

Choi

et al. 2014

International Journal of Electronics

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This article presents an accurate finite-difference time domain (FDTD) dispersive modelling suitable for complex dispersive media. A quadratic complex rational function (QCRF) is used to characterise their dispersive relations. To obtain accurate coefficients of QCRF, in this work, we use an analytical approach and a particle swarm optimisation (PSO) simultaneously. In specific, an analytical approach is used to obtain the QCRF matrix-solving equation and PSO is applied to adjust a weighting function of this equation. Numerical examples are used to illustrate the validity of the proposed FDTD dispersion model.

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Two-Stage Perfectly Matched Layer for the Analysis of Plasmonic Structures

Cited by 4 publications

References 25 publications

Broadband Finite‐Difference Time‐Domain Modeling of Plasmonic Organic Photovoltaics

Broadband Finite‐Difference Time‐Domain Modeling of Plasmonic Organic Photovoltaics

Dispersive FDTD Modeling of Human Body

Accurate FDTD modelling for dispersive media using rational function and particle swarm optimisation

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