Fundamental Challenges and Novel Methodologies in the Next Generation Computational Electromagnetics

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 3784

Special Issue Editors


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Guest Editor
Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy
Interests: computational electromagnetics; integral equations; method of moments; hierarchical preconditioning schemes; advanced quadrature integration schemes
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131-1070, USA
Interests: computational electromagnetics and multi-physics analysis; power integrity and signal integrity analyses of integrated circuits; simulation-based design of multi-scale metamaterials and reconfigurable antennas

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Guest Editor
Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Interests: microwave imaging; computational electromagnetism; electromagnetic fields; electromagnetic devices; antennas; numerical modelling

Special Issue Information

Dear Colleagues,

this Special Issue will provide an overview of the most recent results and research activities concerned with computational electromagnetics (CEM). It will be devoted to CEM experts and practitioners sharing the fundamental obstacles and innovative ideas in electromagnetic analysis, design, and optimization.

Over the past decade, we have witnessed many CEM advancements and simulation-driven discoveries. However, significant challenges remain, which require non-traditional thinking.

These challenges include but are not limited to the following:

  • multi-physics and multidisciplinary simulation,
  • uncertainty qualification and statistical wave modeling,
  • simulation-aided EM design and optimization,
  • machine learning and deep learning based computational electromagnetics methods,
  • high-performance EM computing via parallel and GPU computations,
  • a posteriori error estimate and adaptive mesh refinements,
  • reduced order modeling applied to EM problems,
  • fast and efficient EM computational methods,
  • domain decomposition techniques.

The goal of this Special Issue is to stimulate the discussion and exploration of disruptive technologies in addition to traditional topics.

Prof. Francesca Vipiana
Prof. Zhen Peng
Dr. Jorge A. Tobon Vaquez
Guest Editors

Manuscript Submission Information

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Keywords

  • Computational electromagnetics
  • Multi-physics and multidisciplinary simulation
  • Simulation-based design
  • Simulation-based optimization
  • Domain decomposition techniques
  • Multi-scale structures
  • Machine learning
  • Deep learning
  • Parallel programming
  • GPU
  • Reduced order modeling

Published Papers (1 paper)

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Research

11 pages, 843 KiB  
Article
Analytical Solution of Fractional-Order Hyperbolic Telegraph Equation, Using Natural Transform Decomposition Method
by Hassan Khan, Rasool Shah, Dumitru Baleanu, Poom Kumam and Muhammad Arif
Electronics 2019, 8(9), 1015; https://doi.org/10.3390/electronics8091015 - 11 Sep 2019
Cited by 37 | Viewed by 3420
Abstract
In the current paper, fractional-order hyperbolic telegraph equations are considered for analytical solutions, using the decomposition method based on natural transformation. The fractional derivative is defined by the Caputo operator. The present technique is implemented for both fractional- and integer-order equations, showing that [...] Read more.
In the current paper, fractional-order hyperbolic telegraph equations are considered for analytical solutions, using the decomposition method based on natural transformation. The fractional derivative is defined by the Caputo operator. The present technique is implemented for both fractional- and integer-order equations, showing that the current technique is an accurate analytical instrument for the solution of partial differential equations of fractional-order arising in all branches of applied sciences. For this purpose, several examples related to hyperbolic telegraph models are presented to explain the procedure of the suggested method. It is noted that the procedure of the present technique is simple, straightforward, accurate, and found to be a better mathematical technique to solve non-linear fractional partial differential equations. Full article
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