Nikolaos V. Kantartzis
Aristotle University of Thessaloniki
313 Papers
793 Citations
Nikolaos V. Kantartzis is an academic researcher from Aristotle University of Thessaloniki. The author has contributed to research in topics: Finite-difference time-domain method & Metamaterial. The author has an hindex of 24, co-authored 264 publications. Previous affiliations of Nikolaos V. Kantartzis include Foundation for Research & Technology – Hellas.
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Papers
Evaluation of magnetic field's uniformity inside electromagnetic coils using graphene
TL;DR: In this paper, the distribution of the magnetic field in electromagnetic coils, such as those employed in magnetic resonance imaging (MRI), through graphene gyrotropic properties was evaluated through a specific device, consisting of a high frequency source, an electric field detector, and a finite graphene sheet that differs from the infinite one of the analytical case.
FDTD modeling of graphene-based materials and its application in sensing devices
Stamatios A. Amanatiadis,Nikolaos V. Kantartzis,Pavlos I. Lazaridis,Traianos V. Yioultsis,Zaharias D. Zaharis +4 more
- 28 Jun 2023
TL;DR: In this article , an implementation for the modeling of graphene-based frequency-dispersive materials based on piecewise linear recursive convolution scheme is proposed, and the time-varying character of graphene's conductivity is exploited for its application in sensing.
•Proceedings Article
Enhanced Transcranial Ultrasonic Imaging utilizing Dual Frequency Transducers
Amanatiadis Stamatios,Apostolidis Georgios,Bekiari Chrysanthi,Nikolaos V. Kantartzis +3 more
- 01 Mar 2019
TL;DR: The development of a dual frequency ultrasonic imaging method is proposed to assist the transcranial acoustic wave propagation for medical applications and it is validated via an accurate numerical model, both in A-scan and B-scan modes.
A 3-D Polynomial-Chaos FDTD Technique for Complex Inhomogeneous Media with Arbitrary Stochastically-Varying Index Gradients
Georgios G. Pyrialakos,Theodoros T. Zygiridis,Nikolaos V. Kantartzis +2 more
- 01 Jan 2018
TL;DR: In this article, an enhanced finite-difference time-domain algorithm featuring the polynomial chaos representation is introduced for problems with stochastic uncertainties, focusing on the solution of the governing partial differential equations.