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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Main Authors: Pablo H. Zapata Cano, Stamatios Amanatiadis, Zaharias D. Zaharis, Traianos V. Yioultsis, Pavlos I. Lazaridis, Nikolaos V. Kantartzis
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Nanomaterials
Subjects:
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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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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