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Graphene-based THz absorber: adjustability via multiple gate biasing
A multi-layer absorber using multi-bias arrays of graphene is proposed. The design methodology using the equivalent circuit model and matching concept is described. A heavy optimization process is performed to optimize bias values for different functionality. Leveraging, increased control parameters...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326358/ https://www.ncbi.nlm.nih.gov/pubmed/34368484 http://dx.doi.org/10.1016/j.heliyon.2021.e07633 |
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author | Cyrus, Sindokht Biabanifard, Sadegh |
author_facet | Cyrus, Sindokht Biabanifard, Sadegh |
author_sort | Cyrus, Sindokht |
collection | PubMed |
description | A multi-layer absorber using multi-bias arrays of graphene is proposed. The design methodology using the equivalent circuit model and matching concept is described. A heavy optimization process is performed to optimize bias values for different functionality. Leveraging, increased control parameters due to multi-bias scheme and simple circuit model representation, two operational modes are achieved as wide-band and multi-band absorption. The proposed absorber can perfectly absorb THz incident waves between [Formula: see text] in wide-band mode while shows perfect absorption response in [Formula: see text] and [Formula: see text] in multi-band operational mode. Besides, response dependency to layers thicknesses, electron relaxation time, chemical potentials, and incident angle are reported to express acceptable sensitivity of the device. Such a reconfigurable absorber is in demand for several applications, ranging from medical imaging to indoor communication. |
format | Online Article Text |
id | pubmed-8326358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83263582021-08-06 Graphene-based THz absorber: adjustability via multiple gate biasing Cyrus, Sindokht Biabanifard, Sadegh Heliyon Research Article A multi-layer absorber using multi-bias arrays of graphene is proposed. The design methodology using the equivalent circuit model and matching concept is described. A heavy optimization process is performed to optimize bias values for different functionality. Leveraging, increased control parameters due to multi-bias scheme and simple circuit model representation, two operational modes are achieved as wide-band and multi-band absorption. The proposed absorber can perfectly absorb THz incident waves between [Formula: see text] in wide-band mode while shows perfect absorption response in [Formula: see text] and [Formula: see text] in multi-band operational mode. Besides, response dependency to layers thicknesses, electron relaxation time, chemical potentials, and incident angle are reported to express acceptable sensitivity of the device. Such a reconfigurable absorber is in demand for several applications, ranging from medical imaging to indoor communication. Elsevier 2021-07-22 /pmc/articles/PMC8326358/ /pubmed/34368484 http://dx.doi.org/10.1016/j.heliyon.2021.e07633 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Cyrus, Sindokht Biabanifard, Sadegh Graphene-based THz absorber: adjustability via multiple gate biasing |
title | Graphene-based THz absorber: adjustability via multiple gate biasing |
title_full | Graphene-based THz absorber: adjustability via multiple gate biasing |
title_fullStr | Graphene-based THz absorber: adjustability via multiple gate biasing |
title_full_unstemmed | Graphene-based THz absorber: adjustability via multiple gate biasing |
title_short | Graphene-based THz absorber: adjustability via multiple gate biasing |
title_sort | graphene-based thz absorber: adjustability via multiple gate biasing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8326358/ https://www.ncbi.nlm.nih.gov/pubmed/34368484 http://dx.doi.org/10.1016/j.heliyon.2021.e07633 |
work_keys_str_mv | AT cyrussindokht graphenebasedthzabsorberadjustabilityviamultiplegatebiasing AT biabanifardsadegh graphenebasedthzabsorberadjustabilityviamultiplegatebiasing |