2005
DOI: 10.1109/jlt.2005.843449
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Eigenmode analysis of a light-guiding metal line loaded on a dielectric substrate using the imaginary-distance beam-propagation method

Abstract: Abstract-Fundamental characteristics of a light-guiding metal line are revealed and discussed through the eigenmode analysis using the three-dimensional (3-D) imaginary-distance beam-propagation method (ID-BPM) based on the alternating-direction implicit scheme. For the present ID-BPM, the multiplication factor of the eigenmode is derived and the paper described how the present method works in the ID procedure. An efficient absorbing boundary condition is described, which is suitable for the eigenmode analysis… Show more

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Cited by 27 publications
(22 citation statements)
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References 20 publications
(35 reference statements)
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“…The sampling widths are fixed to be ∆x = 0.05 µm and ∆y = ∆z = 0.02 µm. The perfectly matched layer is placed at the edge of the computational region [19], [23].…”
Section: Preliminary Investigationmentioning
confidence: 99%
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“…The sampling widths are fixed to be ∆x = 0.05 µm and ∆y = ∆z = 0.02 µm. The perfectly matched layer is placed at the edge of the computational region [19], [23].…”
Section: Preliminary Investigationmentioning
confidence: 99%
“…For Ag, the calculation shows that the loss of the SPP mode asymptotically decreases as the metal thickness t is increased. This is because the field becomes less confined to the metal with an increase in the thickness [19]. A further increase in the thickness leads to the fact that the loss for t > 0.1 µm is almost constant.…”
Section: Preliminary Investigationmentioning
confidence: 99%
See 1 more Smart Citation
“…The sampling widths are fixed to be and . The perfectly matched layer is imposed at the computational window edge [23], [24].…”
Section: Introductionmentioning
confidence: 99%
“…This is because the amplification factor cannot be strictly determined due to the splitting error in the ADI process [11]. It is known that the multifrontal method based on the sparse LU decomposition technique is an efficient direct method, which can be used for the case where an iterative method is unstable, although the more memory is required than the iterative method.…”
mentioning
confidence: 99%