Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.

Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.

A major area of recent research involves the study of and realization of double-negative (DNG) metamaterials. DNG metamaterials are bulk materials in which both the permittivity and the permeability are simultaneously negative. Theoretical studies generally assume that a DNG metamaterial has certain...

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Main Authors: McVay, John., Hoorfar, Ahmad., Engheta, Nader.
Format: Villanova Faculty Authorship
Language:English
Published: 2007
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spelling Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.
McVay, John.
Hoorfar, Ahmad.
Engheta, Nader.
A major area of recent research involves the study of and realization of double-negative (DNG) metamaterials. DNG metamaterials are bulk materials in which both the permittivity and the permeability are simultaneously negative. Theoretical studies generally assume that a DNG metamaterial has certain and specific effective parameters and studies the effects of such materials under the assumption that those effective parameters can somehow be realized. Concurrent research studies explore various inclusions, which when imbedded within a host material, may posses DNG effective parameters within a certain frequency range. These effective parameters are often obtained via various mixing formulations such as Periodic [1] or Maxwell-Garnett [2] mixing formulas which approximate the effective material parameters based on the electromagnetic properties of the single inclusion. S-Parameter extraction techniques have also been formulated [3] but operate under the assumption that the slab thickness, d, is small enough with respect to the wavelength within the slab, which can often result in performing the parameter extraction of a slab consisting of only a single inclusion in thickness. When a specific DNG metamaterial is realized and fabricated, a curve fit of the S-parameter solution is also often utilized to approximate the electric and magnetic effective properties of the material [4]. In order to bridge the gap between the theoretical studies and the metamaterial engineering, it is necessary to extract the effective parameters of realized metamaterials with as much precision as possible. In this work, we investigate the potential for applying Evolutionary Algorithms [7]. In particular, we apply Evolutionary Programming (EP) to the problem of parameter extraction of DNG metamaterials. EP has been shown to be well-suited for optimization of highly non-linear continuous parameter objective functions that may manifest epistatic behavior, and has been previously applied to a number of challenging electromagnetic problems [8, 9]. Utilizing the EP optimization, it may be possible to extract the effective parameters, including frequency dependence, from the S-Parameters of a slab of arbitrary thickness.
2007
Villanova Faculty Authorship
vudl:176986
Proceedings of the Antennas and Propagation Sociey International Symposium, 2007, 2893- 2896.
en
dc.title_txt_mv Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.
dc.creator_txt_mv McVay, John.
Hoorfar, Ahmad.
Engheta, Nader.
dc.description_txt_mv A major area of recent research involves the study of and realization of double-negative (DNG) metamaterials. DNG metamaterials are bulk materials in which both the permittivity and the permeability are simultaneously negative. Theoretical studies generally assume that a DNG metamaterial has certain and specific effective parameters and studies the effects of such materials under the assumption that those effective parameters can somehow be realized. Concurrent research studies explore various inclusions, which when imbedded within a host material, may posses DNG effective parameters within a certain frequency range. These effective parameters are often obtained via various mixing formulations such as Periodic [1] or Maxwell-Garnett [2] mixing formulas which approximate the effective material parameters based on the electromagnetic properties of the single inclusion. S-Parameter extraction techniques have also been formulated [3] but operate under the assumption that the slab thickness, d, is small enough with respect to the wavelength within the slab, which can often result in performing the parameter extraction of a slab consisting of only a single inclusion in thickness. When a specific DNG metamaterial is realized and fabricated, a curve fit of the S-parameter solution is also often utilized to approximate the electric and magnetic effective properties of the material [4]. In order to bridge the gap between the theoretical studies and the metamaterial engineering, it is necessary to extract the effective parameters of realized metamaterials with as much precision as possible. In this work, we investigate the potential for applying Evolutionary Algorithms [7]. In particular, we apply Evolutionary Programming (EP) to the problem of parameter extraction of DNG metamaterials. EP has been shown to be well-suited for optimization of highly non-linear continuous parameter objective functions that may manifest epistatic behavior, and has been previously applied to a number of challenging electromagnetic problems [8, 9]. Utilizing the EP optimization, it may be possible to extract the effective parameters, including frequency dependence, from the S-Parameters of a slab of arbitrary thickness.
dc.date_txt_mv 2007
dc.format_txt_mv Villanova Faculty Authorship
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dc.source_txt_mv Proceedings of the Antennas and Propagation Sociey International Symposium, 2007, 2893- 2896.
dc.language_txt_mv en
author McVay, John.
Hoorfar, Ahmad.
Engheta, Nader.
spellingShingle McVay, John.
Hoorfar, Ahmad.
Engheta, Nader.
Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.
author_facet McVay, John.
Hoorfar, Ahmad.
Engheta, Nader.
dc_source_str_mv Proceedings of the Antennas and Propagation Sociey International Symposium, 2007, 2893- 2896.
format Villanova Faculty Authorship
author_sort McVay, John.
dc_date_str 2007
dc_title_str Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.
description A major area of recent research involves the study of and realization of double-negative (DNG) metamaterials. DNG metamaterials are bulk materials in which both the permittivity and the permeability are simultaneously negative. Theoretical studies generally assume that a DNG metamaterial has certain and specific effective parameters and studies the effects of such materials under the assumption that those effective parameters can somehow be realized. Concurrent research studies explore various inclusions, which when imbedded within a host material, may posses DNG effective parameters within a certain frequency range. These effective parameters are often obtained via various mixing formulations such as Periodic [1] or Maxwell-Garnett [2] mixing formulas which approximate the effective material parameters based on the electromagnetic properties of the single inclusion. S-Parameter extraction techniques have also been formulated [3] but operate under the assumption that the slab thickness, d, is small enough with respect to the wavelength within the slab, which can often result in performing the parameter extraction of a slab consisting of only a single inclusion in thickness. When a specific DNG metamaterial is realized and fabricated, a curve fit of the S-parameter solution is also often utilized to approximate the electric and magnetic effective properties of the material [4]. In order to bridge the gap between the theoretical studies and the metamaterial engineering, it is necessary to extract the effective parameters of realized metamaterials with as much precision as possible. In this work, we investigate the potential for applying Evolutionary Algorithms [7]. In particular, we apply Evolutionary Programming (EP) to the problem of parameter extraction of DNG metamaterials. EP has been shown to be well-suited for optimization of highly non-linear continuous parameter objective functions that may manifest epistatic behavior, and has been previously applied to a number of challenging electromagnetic problems [8, 9]. Utilizing the EP optimization, it may be possible to extract the effective parameters, including frequency dependence, from the S-Parameters of a slab of arbitrary thickness.
title Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.
title_full Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.
title_fullStr Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.
title_full_unstemmed Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.
title_short Extraction of Effective Permittvity and Permeability of Dispersive Double Negative Slabs using Evolutionary Programming.
title_sort extraction of effective permittvity and permeability of dispersive double negative slabs using evolutionary programming.
publishDate 2007
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language English
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