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Geometrical tradeoffs in graphene-based deeply-scaled electrically reconfigurable metasurfaces

In this work we study the terahertz light propagation through deeply-scaled graphene-based reconfigurable metasurfaces, i.e. metasurfaces with unit-cell dimensions much smaller than the terahertz wavelength. These metasurfaces are analyzed as phase modulators for constructing reconfigurable phase gr...

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Autores principales: Arezoomandan, Sara, Sensale-Rodriguez, Berardi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4351532/
https://www.ncbi.nlm.nih.gov/pubmed/25744135
http://dx.doi.org/10.1038/srep08834
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author Arezoomandan, Sara
Sensale-Rodriguez, Berardi
author_facet Arezoomandan, Sara
Sensale-Rodriguez, Berardi
author_sort Arezoomandan, Sara
collection PubMed
description In this work we study the terahertz light propagation through deeply-scaled graphene-based reconfigurable metasurfaces, i.e. metasurfaces with unit-cell dimensions much smaller than the terahertz wavelength. These metasurfaces are analyzed as phase modulators for constructing reconfigurable phase gradients along an optical interface for the purpose of beam shaping. Two types of deeply-scaled metacell geometries are analyzed and compared, which consist of: (i) multi split ring resonators, and (ii) multi spiral resonators. Two figures of merit, related to: (a) the loss and (b) the degree of reconfigurability achievable by such metamaterials -when applied in beam shaping applications-, are introduced and discussed. Simulations of these two types of deep-subwavelength geometries, when changing the metal coverage-fraction, show that there is an optimal coverage-fraction that gives the best tradeoff in terms of loss versus degree of reconfigurability. For both types of geometries the best tradeoff occurs when the area covered by the metallic region is around 40% of the metacell total area. From this point of view, reconfigurable deeply-scaled metamaterials can indeed provide a superior performance for beam shaping applications when compared to not deeply-scaled ones; however, counterintuitively, employing very highly-packed structures might not be beneficial for such applications.
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spelling pubmed-43515322015-03-10 Geometrical tradeoffs in graphene-based deeply-scaled electrically reconfigurable metasurfaces Arezoomandan, Sara Sensale-Rodriguez, Berardi Sci Rep Article In this work we study the terahertz light propagation through deeply-scaled graphene-based reconfigurable metasurfaces, i.e. metasurfaces with unit-cell dimensions much smaller than the terahertz wavelength. These metasurfaces are analyzed as phase modulators for constructing reconfigurable phase gradients along an optical interface for the purpose of beam shaping. Two types of deeply-scaled metacell geometries are analyzed and compared, which consist of: (i) multi split ring resonators, and (ii) multi spiral resonators. Two figures of merit, related to: (a) the loss and (b) the degree of reconfigurability achievable by such metamaterials -when applied in beam shaping applications-, are introduced and discussed. Simulations of these two types of deep-subwavelength geometries, when changing the metal coverage-fraction, show that there is an optimal coverage-fraction that gives the best tradeoff in terms of loss versus degree of reconfigurability. For both types of geometries the best tradeoff occurs when the area covered by the metallic region is around 40% of the metacell total area. From this point of view, reconfigurable deeply-scaled metamaterials can indeed provide a superior performance for beam shaping applications when compared to not deeply-scaled ones; however, counterintuitively, employing very highly-packed structures might not be beneficial for such applications. Nature Publishing Group 2015-03-06 /pmc/articles/PMC4351532/ /pubmed/25744135 http://dx.doi.org/10.1038/srep08834 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Arezoomandan, Sara
Sensale-Rodriguez, Berardi
Geometrical tradeoffs in graphene-based deeply-scaled electrically reconfigurable metasurfaces
title Geometrical tradeoffs in graphene-based deeply-scaled electrically reconfigurable metasurfaces
title_full Geometrical tradeoffs in graphene-based deeply-scaled electrically reconfigurable metasurfaces
title_fullStr Geometrical tradeoffs in graphene-based deeply-scaled electrically reconfigurable metasurfaces
title_full_unstemmed Geometrical tradeoffs in graphene-based deeply-scaled electrically reconfigurable metasurfaces
title_short Geometrical tradeoffs in graphene-based deeply-scaled electrically reconfigurable metasurfaces
title_sort geometrical tradeoffs in graphene-based deeply-scaled electrically reconfigurable metasurfaces
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4351532/
https://www.ncbi.nlm.nih.gov/pubmed/25744135
http://dx.doi.org/10.1038/srep08834
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