Special Issue "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: 30 June 2020.

Special Issue Editors

Guest Editor
Prof. Francesca Vipiana Website E-Mail
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
Guest Editor
Prof. Zhen Peng Website E-Mail
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
Guest Editor
Dr. Jorge A. Tobon Vaquez Website E-Mail
Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy
Interests: computational electromagnetics; integral equations; method of moments; domain decomposition techniques

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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

Open AccessArticle
Analytical Solution of Fractional-Order Hyperbolic Telegraph Equation, Using Natural Transform Decomposition Method
Electronics 2019, 8(9), 1015; https://doi.org/10.3390/electronics8091015 - 11 Sep 2019
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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