1996
DOI: 10.1109/75.481092
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Three-dimensional FDTD analysis of quasi-optical arrays using Floquet boundary conditions and Berenger's PML

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Cited by 29 publications
(13 citation statements)
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“…An infinitely wide grid was modeled by surrounding a single unit cell of the device with periodic boundary conditions 13 . The frequency response of the filter was determined with 0.53 GHz resolution by Gaussian pulsed excitation and FFT of the transmitted fields.…”
mentioning
confidence: 99%
“…An infinitely wide grid was modeled by surrounding a single unit cell of the device with periodic boundary conditions 13 . The frequency response of the filter was determined with 0.53 GHz resolution by Gaussian pulsed excitation and FFT of the transmitted fields.…”
mentioning
confidence: 99%
“…The values ofA 1 One caveat about this fit is that it is only known to be accurate for values of the index contrast between 1.25 and 2.0 and values of the number of bilayers between 2 and 6. The change in reflectivity for multilayer stacks that fall out of this parameter space cannot be predicted using the above fit.…”
Section: Te Polarization Reflectivity Resultsmentioning
confidence: 99%
“…Periodic boundary conditions can be used to simulate structures that have infinite lengths or widths [Alexanian (1996), Cangellaris (1993), Celuch-Marcysiak (1995), Chan (1991), Kelly (1994), Kesler (1996), Navarro (1993), Okoniewski (1993), Tsay (1993)]. When the value of the field just outside of the simulation domain is required, the value of the field at the opposite boundary is used.…”
Section: - Total Fieldmentioning
confidence: 99%
“…This paper presents the new approach to modeling and analysis of the HH (Hodgkin and Huxley) membrane model which is represented as an electrical circuit on the surface of the biological equivalent spherical cells. For the sake of simplicity, the analyzed structure has been represented with spherical or cubical cells and Floquet periodic boundary conditions [17][18][19][20] have been applied to the border of the analyzed structure in order to mimic the presence of the surrounding cells. Although cellular tissues are not perfectly periodic and living cells are not precisely spheres or cubes, this approximation allows a reasonable approximation to the modeling of biological tissue using only a small part of the structure, while alleviating the problem of the huge requirement of computer resources for the simulation of a complete body of tissue.…”
Section: Introductionmentioning
confidence: 99%