Cargando…

Analysis and design of terahertz reflectarrays based on graphene cell clusters

In this paper, the graphene cell-cluster is introduced, which is composed of an array of identical unit-cells placed in a geometrical configuration. Such graphene cell-clusters are then used for the realization of a reflectarray. To the best of our knowledge, identical unit-cells in a particular geo...

Descripción completa

Detalles Bibliográficos
Autores principales: Hosseini, Parinaz, Oraizi, Homayoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772226/
https://www.ncbi.nlm.nih.gov/pubmed/36543840
http://dx.doi.org/10.1038/s41598-022-26382-w
_version_ 1784854938184056832
author Hosseini, Parinaz
Oraizi, Homayoon
author_facet Hosseini, Parinaz
Oraizi, Homayoon
author_sort Hosseini, Parinaz
collection PubMed
description In this paper, the graphene cell-cluster is introduced, which is composed of an array of identical unit-cells placed in a geometrical configuration. Such graphene cell-clusters are then used for the realization of a reflectarray. To the best of our knowledge, identical unit-cells in a particular geometrical configuration have already been introduced, but the analytical formulas for this model have not been investigated so far. In this paper, the Fourier-optics and aperture field estimation methods are applied to investigate the effect of cell-cluster dimensions on the generation of specified far-field radiation patterns. Implementing cell-clusters in graphene reflectarrays and similar structures, and also applying the proposed formulas, lead to the simplicity of configuration and enhancing the design accuracy. First, the effect of cell-cluster dimensions on the reflectarray radiation pattern is investigated. Then, a reflectarray composed of graphene cell-clusters is designed. A new configuration of graphene unit-cell composed of two graphene layers is proposed, where a middle layer of metallic patch is inserted. In the common graphene unit-cells, the rate of amplitude variations is quite high and greatly depends on the variation of phase in the proposed unit-cell. However, the amplitude variation is quite smaller than the phase variations.
format Online
Article
Text
id pubmed-9772226
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-97722262022-12-23 Analysis and design of terahertz reflectarrays based on graphene cell clusters Hosseini, Parinaz Oraizi, Homayoon Sci Rep Article In this paper, the graphene cell-cluster is introduced, which is composed of an array of identical unit-cells placed in a geometrical configuration. Such graphene cell-clusters are then used for the realization of a reflectarray. To the best of our knowledge, identical unit-cells in a particular geometrical configuration have already been introduced, but the analytical formulas for this model have not been investigated so far. In this paper, the Fourier-optics and aperture field estimation methods are applied to investigate the effect of cell-cluster dimensions on the generation of specified far-field radiation patterns. Implementing cell-clusters in graphene reflectarrays and similar structures, and also applying the proposed formulas, lead to the simplicity of configuration and enhancing the design accuracy. First, the effect of cell-cluster dimensions on the reflectarray radiation pattern is investigated. Then, a reflectarray composed of graphene cell-clusters is designed. A new configuration of graphene unit-cell composed of two graphene layers is proposed, where a middle layer of metallic patch is inserted. In the common graphene unit-cells, the rate of amplitude variations is quite high and greatly depends on the variation of phase in the proposed unit-cell. However, the amplitude variation is quite smaller than the phase variations. Nature Publishing Group UK 2022-12-21 /pmc/articles/PMC9772226/ /pubmed/36543840 http://dx.doi.org/10.1038/s41598-022-26382-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hosseini, Parinaz
Oraizi, Homayoon
Analysis and design of terahertz reflectarrays based on graphene cell clusters
title Analysis and design of terahertz reflectarrays based on graphene cell clusters
title_full Analysis and design of terahertz reflectarrays based on graphene cell clusters
title_fullStr Analysis and design of terahertz reflectarrays based on graphene cell clusters
title_full_unstemmed Analysis and design of terahertz reflectarrays based on graphene cell clusters
title_short Analysis and design of terahertz reflectarrays based on graphene cell clusters
title_sort analysis and design of terahertz reflectarrays based on graphene cell clusters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772226/
https://www.ncbi.nlm.nih.gov/pubmed/36543840
http://dx.doi.org/10.1038/s41598-022-26382-w
work_keys_str_mv AT hosseiniparinaz analysisanddesignofterahertzreflectarraysbasedongraphenecellclusters
AT oraizihomayoon analysisanddesignofterahertzreflectarraysbasedongraphenecellclusters