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Micromachines
Special Issues
Advancements in Materials, Design, and Applications of Magnetoelectric Sensors
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Advancements in Materials, Design, and Applications of Magnetoelectric Sensors

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A：Physics".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2086

Special Issue Editor

Dr. Andrei V. Turutin

E-Mail Website
Guest Editor
Laboratory of Physics of Oxide Ferroelectrics, National University of Science and Technology MISiS, 119049 Moscow, Russia
Interests: magnetic materials and magnetism; magnetoelectric composites; MEMS-magnetic sensors; nanomaterials; physical properties; ferroelectric materials; physical characterization

Special Issue Information

Dear Colleagues,

Magnetoelectric sensors have emerged as a promising technology in various fields, offering the advantages of high sensitivity, low power consumption, and compatibility with miniaturization. This special issue focuses on recent advances in magnetoelectric sensors, aiming to provide a comprehensive overview of the latest developments, challenges, and future directions in this rapidly evolving field.

The special issue covers a wide range of topics related to magnetoelectric sensors, including materials and fabrication techniques, device design and optimization, signal processing and integration, and applications in diverse areas such as biomedical sensing, environmental monitoring, and industrial control.

Contributions from researchers and experts in the field highlight novel approaches and breakthroughs in the design and fabrication of magnetoelectric sensor materials, including multiferroic composites, thin films, and nanostructures. The utilization of advanced characterization techniques and computational modeling to understand the underlying physics and improve sensor performance is also explored.

Moreover, the special issue delves into the exploration of innovative device architectures and integration strategies to enhance the sensitivity, selectivity, and reliability of magnetoelectric sensors. Topics such as hybrid sensor configurations, sensor networks, and wireless communication interfaces are discussed to enable the realization of smart and interconnected sensor systems.

In addition to technological advancements, the special issue investigates the application potentials of magnetoelectric sensors in different fields. This includes the detection and monitoring of biological signals, such as neural activity and biomarkers, as well as environmental parameters like magnetic fields, pressure, and temperature. Furthermore, the integration of magnetoelectric sensors into emerging technologies such as Internet of Things (IoT), wearable devices, and autonomous systems is explored.

The contributions presented in this special issue provide valuable insights into the state-of-the-art advancements in magnetoelectric sensor technology and its potential impact on various domains. They also identify key challenges and opportunities that lie ahead, paving the way for future research and innovation in this exciting field.

Dr. Andrei V. Turutin
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. Micromachines 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 2600 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

  • magnetoelectric sensors
  • magnetoelectric sensor materials
  • multiferroic composites
  • thin films materials
  • nanostructures
  • fabrication techniques
  • device design and optimization

Published Papers (2 papers)

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Research

14 pages, 6047 KiB  
Article
Array Study of VLF Thin-Film Magnetoelectric Antenna with a Microbridge Structure
by Jianhua Jin, Long Jing, Chao Zuo, Zhiling Ma, Yanfeng Shi, Xiaofei Yang and Shi Chen
Micromachines 2024, 15(1), 11; https://doi.org/10.3390/mi15010011 - 20 Dec 2023
Viewed by 829
Abstract
Recently, magnetoelectric (ME) antennas have become a hot topic in the field of antenna miniaturization in the very-low-frequency (VLF) band because their size can be reduced to one-ten-thousandth of the size of conventional electric antennas. However, they still suffer from narrow transmission/reception bandwidth [...] Read more.
Recently, magnetoelectric (ME) antennas have become a hot topic in the field of antenna miniaturization in the very-low-frequency (VLF) band because their size can be reduced to one-ten-thousandth of the size of conventional electric antennas. However, they still suffer from narrow transmission/reception bandwidth and weak radiation intensity. To address these issues, VLF thin-film ME antennas with a microbridge structure are designed, and the method of array connection is used. Test results show that the detection limit of the ME antenna unit is 636 pT/√Hz at 23 kHz and the radiant magnetic field intensity at 0.12 m is 0.87 nT (input power of 10 mW). By series-connecting three ME antenna units with the same resonance frequency, the output response has been increased to 1.72 times and the EM wave radiation intensity is increased to 1.9 times compared to a single unit. By parallel-connecting two ME antenna units with different resonance frequencies, the output response bandwidth has been expanded to 1.56 times compared to a single unit, and the signal radiation bandwidth has been expanded to 1.47 times. This work provides a valuable reference for the future larger-scale arraying of ME antennas. Full article
(This article belongs to the Special Issue Advancements in Materials, Design, and Applications of Magnetoelectric Sensors)
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21 pages, 11027 KiB  
Article
Modeling of Magnetoelectric Microresonator Using Numerical Method and Simulated Annealing Algorithm
by Mohammad Sadeghi, Mohammad M. Bazrafkan, Marcus Rutner and Franz Faupel
Micromachines 2023, 14(10), 1878; https://doi.org/10.3390/mi14101878 - 29 Sep 2023
Viewed by 859
Abstract
A comprehensive understanding of the linear/nonlinear dynamic behavior of wireless microresonators is essential for micro-electromechanical systems (MEMS) design optimization. This study investigates the dynamic behaviour of a magnetoelectric (ME) microresonator, using a finite element method (FEM) and machine learning algorithm. First, the linear/nonlinear [...] Read more.
A comprehensive understanding of the linear/nonlinear dynamic behavior of wireless microresonators is essential for micro-electromechanical systems (MEMS) design optimization. This study investigates the dynamic behaviour of a magnetoelectric (ME) microresonator, using a finite element method (FEM) and machine learning algorithm. First, the linear/nonlinear behaviour of a fabricated thin-film ME microactuator is assessed in both the time domain and frequency spectrum. Next, a data driven system identification (DDSI) procedure and simulated annealing (SA) method are implemented to reconstruct differential equations from measured datasets. The Duffing equation is employed to replicate the dynamic behavior of the ME microactuator. The Duffing coefficients such as mass, stiffness, damping, force amplitude, and excitation frequency are considered as input parameters. Meanwhile, the microactuator displacement is taken as the output parameter, which is measured experimentally via a laser Doppler vibrometer (LDV) device. To determine the optimal range and step size for input parameters, the sensitivity analysis is conducted using Latin hypercube sampling (LHS). The peak index matching (PIM) and correlation coefficient (CC) are considered assessment criteria for the objective function. The data-driven developed models are subsequently employed to reconstruct/predict mode shapes and the vibration amplitude over the time domain. The effect of driving signal nonlinearity and total harmonic distortion (THD) is explored experimentally under resonance and sub-resonance conditions. The vibration measurements reveal that as excitation levels increase, hysteresis variations become more noticeable, which may result in a higher prediction error in the Duffing array model. The verification test indicates that the first bending mode reconstructs reasonably with a prediction accuracy of about 92 percent. This proof-of-concept study demonstrates that the simulated annealing approach is a promising tool for modeling the dynamic behavior of MEMS systems, making it a strong candidate for real-world applications. Full article
(This article belongs to the Special Issue Advancements in Materials, Design, and Applications of Magnetoelectric Sensors)
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