Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna Applications
The accurate modeling of frequency-dispersive materials is a challenging task, especially when a scheme with a transient nature is utilized, as it is the case of the finite-difference time-domain method. In this work, a novel implementation for the modeling of graphene-oriented dispersive materials...
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MDPI AG
2023-01-01
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Online Access: | https://www.mdpi.com/2079-4991/13/3/384 |
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author | Pablo H. Zapata Cano Stamatios Amanatiadis Zaharias D. Zaharis Traianos V. Yioultsis Pavlos I. Lazaridis Nikolaos V. Kantartzis |
author_facet | Pablo H. Zapata Cano Stamatios Amanatiadis Zaharias D. Zaharis Traianos V. Yioultsis Pavlos I. Lazaridis Nikolaos V. Kantartzis |
author_sort | Pablo H. Zapata Cano |
collection | DOAJ |
description | The accurate modeling of frequency-dispersive materials is a challenging task, especially when a scheme with a transient nature is utilized, as it is the case of the finite-difference time-domain method. In this work, a novel implementation for the modeling of graphene-oriented dispersive materials via the piecewise linear recursive convolution scheme, is introduced, while the time-varying conductivity feature is, additionally, launched. The proposed algorithm is employed to design a reduced graphene-oxide antenna operating at <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>6</mn></mrow></semantics></math></inline-formula> GHz. The transient response to graphene’s conductivity variations is thoroughly studied and a strategy to enhance the antenna performance by exploiting the time-varying graphene oxide is proposed. Finally, the use of the featured antenna for modern sensing applications is demonstrated through the real-time monitoring of voltage variation. |
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id | doaj.art-0ff8a22b217a4bfd8bff6820d2daf0e7 |
institution | Directory Open Access Journal |
issn | 2079-4991 |
language | English |
last_indexed | 2024-03-11T09:32:01Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
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series | Nanomaterials |
spelling | doaj.art-0ff8a22b217a4bfd8bff6820d2daf0e72023-11-16T17:33:56ZengMDPI AGNanomaterials2079-49912023-01-0113338410.3390/nano13030384Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna ApplicationsPablo H. Zapata Cano0Stamatios Amanatiadis1Zaharias D. Zaharis2Traianos V. Yioultsis3Pavlos I. Lazaridis4Nikolaos V. Kantartzis5School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceSchool of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceSchool of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceSchool of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceSchool of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UKSchool of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceThe accurate modeling of frequency-dispersive materials is a challenging task, especially when a scheme with a transient nature is utilized, as it is the case of the finite-difference time-domain method. In this work, a novel implementation for the modeling of graphene-oriented dispersive materials via the piecewise linear recursive convolution scheme, is introduced, while the time-varying conductivity feature is, additionally, launched. The proposed algorithm is employed to design a reduced graphene-oxide antenna operating at <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>6</mn></mrow></semantics></math></inline-formula> GHz. The transient response to graphene’s conductivity variations is thoroughly studied and a strategy to enhance the antenna performance by exploiting the time-varying graphene oxide is proposed. Finally, the use of the featured antenna for modern sensing applications is demonstrated through the real-time monitoring of voltage variation.https://www.mdpi.com/2079-4991/13/3/384FDTD methodsgas sensinggraphenegraphene oxide antennatransient phenomena |
spellingShingle | Pablo H. Zapata Cano Stamatios Amanatiadis Zaharias D. Zaharis Traianos V. Yioultsis Pavlos I. Lazaridis Nikolaos V. Kantartzis Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna Applications Nanomaterials FDTD methods gas sensing graphene graphene oxide antenna transient phenomena |
title | Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna Applications |
title_full | Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna Applications |
title_fullStr | Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna Applications |
title_full_unstemmed | Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna Applications |
title_short | Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna Applications |
title_sort | robust fdtd modeling of graphene based conductive materials with transient features for advanced antenna applications |
topic | FDTD methods gas sensing graphene graphene oxide antenna transient phenomena |
url | https://www.mdpi.com/2079-4991/13/3/384 |
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