Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna Applications.

Pablo H Zapata Cano, Stamatios Amanatiadis, Zaharias D Zaharis, Traianos V Yioultsis, Pavlos I Lazaridis, Nikolaos V Kantartzis
Author Information
  1. Pablo H Zapata Cano: School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. ORCID
  2. Stamatios Amanatiadis: School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. ORCID
  3. Zaharias D Zaharis: School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. ORCID
  4. Traianos V Yioultsis: School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. ORCID
  5. Pavlos I Lazaridis: School of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK. ORCID
  6. Nikolaos V Kantartzis: School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. ORCID

Abstract

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 6 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.

Keywords

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Grants

  1. 861219/European Union

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