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Electronics
Special Issues
The Latest Progress in Computational Electromagnetics and Beyond
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The Latest Progress in Computational Electromagnetics and Beyond

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (15 October 2024) | Viewed by 3199

Special Issue Editor

Prof. Dr. Sandra Costanzo

E-Mail Website
Guest Editor
Department of Computer Engineering, Modeling, Electronics and Systems, University of Calabria, 87036 Arcavacata, Italy
Interests: microwave and millimeter-waves antennas and circuits; microwave biomedical applications; innovative materials for antennas; electromagnetics in health safety
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Computational electromagnetics (CEM) methods are widely used in the analysis of scattering and radiation characteristics of a complex electromagnetic (EM) environment, which are widely used in microwave remote sensing, radar detection, stealth design, and so on.

This Special Issue aims to showcase new ideas, algorithms, and applications related to the concept of computational electromagnetics and beyond. Possible topics are as follows:

  • Full-wave and high-frequency computational electromagnetics methods;
  • Complicated scattering mechanisms and analysis from antennas and circuit structures;
  • The application of electromagnetic simulation methods.

We look forward to receiving your contributions.

Prof. Dr. Sandra Costanzo
Guest Editor

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 submissions that pass pre-check are 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 semimonthly 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 2400 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

  • high-frequency and full-wave computational electromagnetics methods
  • multiple scattering mechanisms and analysis
  • electromagnetic simulation, detection, and perception

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

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13 pages, 1311 KiB  
Article
An Efficient Dual Application of the Adaptive Cross Approximation for Scattering and Radiation Problems
by Eliseo García, Carlos Delgado and Felipe Cátedra
Electronics 2024, 13(24), 4890; https://doi.org/10.3390/electronics13244890 - 11 Dec 2024
Viewed by 644
Abstract
This paper presents a computationally efficient approach for the solution of electromagnetic problems based on the combination of the Characteristic Basis Functions and Adaptative Cross Approximation, allowing an improvement of the processing time and memory requirements with respect to the conventional MoM and [...] Read more.
This paper presents a computationally efficient approach for the solution of electromagnetic problems based on the combination of the Characteristic Basis Functions and Adaptative Cross Approximation, allowing an improvement of the processing time and memory requirements with respect to the conventional MoM and CBFM approaches. The presented technique has been validated using a number of cases in order to assess its accuracy and efficiency. Full article
(This article belongs to the Special Issue The Latest Progress in Computational Electromagnetics and Beyond)
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12 pages, 5521 KiB  
Article
Improving the Efficiency of the Axial Flux Machine with Hybrid Excitation
by Pawel Prajzendanc, Ryszard Palka, Piotr Paplicki, Marcin Wardach, Michal Cichowicz, Kamil Cierzniewski, Lech Dorobczynski and Edison Gundabattini
Electronics 2024, 13(11), 2219; https://doi.org/10.3390/electronics13112219 - 6 Jun 2024
Viewed by 1029
Abstract
This paper discusses the construction and operating principle of an axial flux electric machine with hybrid excitation. Based on computer simulations using the Finite Element Method, an analysis was conducted with changes in the geometry of the magnetic circuit, which involves the rotation [...] Read more.
This paper discusses the construction and operating principle of an axial flux electric machine with hybrid excitation. Based on computer simulations using the Finite Element Method, an analysis was conducted with changes in the geometry of the magnetic circuit, which involves the rotation of the rotor disks relative to each other on the operating parameters of the machine. Both the generator state of operation, in the meaning of analyzing the induced voltage (adjustment at −11% ÷ +64%) and the cogging torque, and the motor state of operation, in the meaning of analyzing the ripple of the electromagnetic torque (possible reduction by almost 30%), were examined. The article concludes with observations on how the change in the angle of the rotor disks affects the efficiency of the disk machine with axial flux and hybrid excitation. Full article
(This article belongs to the Special Issue The Latest Progress in Computational Electromagnetics and Beyond)
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Review

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35 pages, 9273 KiB  
Review
A Review of Multi-Fidelity Learning Approaches for Electromagnetic Problems
by Ricardo E. Sendrea, Constantinos L. Zekios and Stavros V. Georgakopoulos
Electronics 2025, 14(1), 89; https://doi.org/10.3390/electronics14010089 - 28 Dec 2024
Viewed by 1025
Abstract
The demand for fast and accurate electromagnetic solutions to support current and emerging technologies has fueled the rapid development of various machine learning techniques for applications such as antenna design and optimization, microwave imaging, device diagnostics, and more. Multi-fidelity (MF) surrogate modeling methods [...] Read more.
The demand for fast and accurate electromagnetic solutions to support current and emerging technologies has fueled the rapid development of various machine learning techniques for applications such as antenna design and optimization, microwave imaging, device diagnostics, and more. Multi-fidelity (MF) surrogate modeling methods have shown great promise in significantly reducing computational costs associated with surrogate modeling while maintaining high model accuracy. This work offers a comprehensive review of the available MF surrogate modeling methods in electromagnetics, focusing on specific methodologies, related challenges, and the generation of variable-fidelity datasets. The article is structured around the two main types of electromagnetic problems: forward and inverse. It begins by summarizing key machine learning concepts and limitations. This transitions to discussing multi-fidelity surrogate model architectures and low-fidelity data techniques for the forward problem. Subsequently, the unique challenges of the inverse problem are presented, along with traditional solutions and their limitations. Following this, the review examines MF surrogate modeling approaches tailored to the inverse problem. In conclusion, the review outlines promising future directions in MF modeling for electromagnetics, aiming to provide fundamental insights into understanding these developing methods. Full article
(This article belongs to the Special Issue The Latest Progress in Computational Electromagnetics and Beyond)
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