Advances in Magnetic Hysteresis—In Memory of Prof. Dr. Sergey Borisovich Leble

A special issue of Magnetochemistry (ISSN 2312-7481). This special issue belongs to the section "Magnetic Materials".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 12768

Special Issue Editors



Guest Editor
Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Kaliningrad Oblast, Russia
Interests: theoretical and mathematical physics; nonlinear problems; integrable systems and numerical methods; ab initio theory of ferromagnetism; domain wall creation and propagation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Kaliningrad Oblast, Russia
Interests: magnetic thin films; exchange bias effect; FORC methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to provide a valuable forum for scientists to share their new findings related to both fundamental and applied research on magnetic hysteresis, which is a key property of all ferromagnetic materials. In this issue, special attention will be paid to two scientific problems. The first is predicting the behavior of a magnetic system during magnetization reversal, taking into account the known parameters of the system. Here, the most important topics are the fundamental theory of ferromagnetism and the modeling of hysteresis processes. The second is the determination of intrinsic properties of materials based on the observed magnetic hysteresis. On this basis, the topics to be covered can include but are not limited to:

1. Theory and modeling of magnetic hysteresis

  • Ab initio theory of ferromagnetism, exchange interaction
  • Brown and related equations, statement of problem and solutions
  • Hysteresis curve modeling and calculation
  • Magnetization dynamics modeling
  • Novel methodic of precise hysteresis investigations
  • FORC analysis for magnetic systems
2. Magnetic hysteresis versus material composition and properties
  • Structural properties and magnetic hysteresis
  • Domain walls: form, creation (nucleation), and propagation
  • Low-dimensional magnetism, novel 2D magnetic systems
  • Magnetic hysteresis and dimensional effects
  • Tailoring magnetic anisotropy in different kinds of materials
  • Mechanical and electric field control of ferromagnetism
  • Magnetic hysteresis in multiferroics

You may choose our Joint Special Issue in Applied Sciences.

Dr. Sergey Borisovich Leble
Assoc. Prof. Dr. Christina Gritsenko
Guest Editors

Manuscript Submission Information

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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. Magnetochemistry 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 2700 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

  • magnetic anisotropy
  • magnetic hysteresis
  • domain walls
  • micromagnetics
  • multiferroics
  • thin films
  • ab initio theory of ferromagnetism
  • exchange interaction
  • hysteresis curve computation
  • Brown equations
  • FORC

Published Papers (4 papers)

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Research

14 pages, 6569 KiB  
Article
Investigation of the Morphological Structure of Needle-Free Electrospun Magnetic Nanofiber Mats
by Al Mamun, Michaela Klöcker, Tomasz Blachowicz and Lilia Sabantina
Magnetochemistry 2022, 8(2), 25; https://doi.org/10.3390/magnetochemistry8020025 - 8 Feb 2022
Cited by 8 | Viewed by 2753
Abstract
Electrospun magnetic nanofibers are promising for a variety of applications in biomedicine, energy storage, filtration or spintronics. The surface morphology of nanofiber mats plays an important role for defined application areas. In addition, the distribution of magnetic particles in nanofibers exerts an influence [...] Read more.
Electrospun magnetic nanofibers are promising for a variety of applications in biomedicine, energy storage, filtration or spintronics. The surface morphology of nanofiber mats plays an important role for defined application areas. In addition, the distribution of magnetic particles in nanofibers exerts an influence on the final properties of nanofiber mats. A simple method for the production of magnetic nanofiber mats by the addition of magnetic nanoparticles in an electrospinning polymer solution was used in this study. In this work, magnetic nanofibers (MNFs) were prepared by needle-free electrospinning technique from poly(acrylonitrile) (PAN) in the low-toxic solvent dimethy lsulfoxide (DMSO) and 20 wt% Fe3O4 at different parameter conditions such as PAN concentration, voltage and ultrasonic bath. The distribution of nanoparticles in the fiber matrix was investigated as well as the chemical and morphological properties of the resulting magnetic nanofibers. In addition, the surface morphology of magnetic nanofiber mats was studied by confocal laser scanning microscope (CLSM), scanning electron microscope (SEM), Fourier transform infrared microscope (FTIR) and ImageJ software, and distribution of Fe3O4 particles in the matrix was investigated by energy dispersive X-ray spectroscopy (EDX). Full article
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19 pages, 4510 KiB  
Article
Neural Network Modeling of Arbitrary Hysteresis Processes: Application to GO Ferromagnetic Steel
by Simone Quondam Antonio, Vincenzo Bonaiuto, Fausto Sargeni and Alessandro Salvini
Magnetochemistry 2022, 8(2), 18; https://doi.org/10.3390/magnetochemistry8020018 - 27 Jan 2022
Cited by 4 | Viewed by 3056
Abstract
A computationally efficient hysteresis model, based on a standalone deep neural network, with the capability of reproducing the evolution of the magnetization under arbitrary excitations, is here presented and applied in the simulation of a commercial grain-oriented electrical steel sheet. The main novelty [...] Read more.
A computationally efficient hysteresis model, based on a standalone deep neural network, with the capability of reproducing the evolution of the magnetization under arbitrary excitations, is here presented and applied in the simulation of a commercial grain-oriented electrical steel sheet. The main novelty of the proposed approach is to embed the past history dependence, typical of hysteretic materials, in the neural net, and to illustrate an optimized training procedure. Firstly, an experimental investigation was carried out on a sample of commercial GO steel by means of an Epstein equipment, in agreement with the international standard. Then, the traditional Preisach model, identified only using three measured symmetric hysteresis loops, was exploited to generate the training set. Once the network was trained, it was validated with the reproduction of the other measured hysteresis loops and further hysteresis processes obtained by the Preisach simulations. The model implementation at a low level of abstraction shows a very high computational speed and minimal memory allocation, allowing a possible coupling with finite-element analysis (FEA). Full article
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13 pages, 17805 KiB  
Article
Magnetic Properties of Bi-Magnetic Core/Shell Nanoparticles: The Case of Thin Shells
by Alexander Omelyanchik, Silvia Villa, Gurvinder Singh, Valeria Rodionova, Sara Laureti, Fabio Canepa and Davide Peddis
Magnetochemistry 2021, 7(11), 146; https://doi.org/10.3390/magnetochemistry7110146 - 8 Nov 2021
Cited by 4 | Viewed by 3423
Abstract
Bi-magnetic core/shell nanoparticles were synthesized by a two-step high-temperature decomposition method of metal acetylacetonate salts. Transmission electron microscopy confirmed the formation of an ultrathin shell (~0.6 nm) of NiO and NiFe2O4 around the magnetically hard 8 nm CoFe2O [...] Read more.
Bi-magnetic core/shell nanoparticles were synthesized by a two-step high-temperature decomposition method of metal acetylacetonate salts. Transmission electron microscopy confirmed the formation of an ultrathin shell (~0.6 nm) of NiO and NiFe2O4 around the magnetically hard 8 nm CoFe2O4 core nanoparticle. Magnetization measurements showed an increase in the coercivity of the single-phase CoFe2O4 seed nanoparticles from ~1.2 T to ~1.5 T and to ~2.0 T for CoFe2O4/NiFe2O4 and CoFe2O4/NiO, respectively. The NiFe2O4 shell also increases the magnetic volume of particles and the dipolar interparticle interactions. In contrast, the NiO shell prevents such interactions and keeps the magnetic volume almost unchanged. Full article
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10 pages, 2206 KiB  
Article
FMR Damping in Thin Films with Exchange Bias
by Nikolay G. Chechenin, Irina O. Dzhun, Georgy V. Babaytsev, Mikhail G. Kozin, Alexey V. Makunin and Irina L. Romashkina
Magnetochemistry 2021, 7(5), 70; https://doi.org/10.3390/magnetochemistry7050070 - 17 May 2021
Cited by 2 | Viewed by 2292
Abstract
Ferromagnetic resonance (FMR) linewidth (LW) is a tool for studying the high frequency properties of magnetic materials for their application in high-speed devices. Here, we investigate different mechanisms which determine FMR damping in bilayer ferromagnetic/antiferromagnetic (F/AF and AF/F) exchange bias systems. Variations of [...] Read more.
Ferromagnetic resonance (FMR) linewidth (LW) is a tool for studying the high frequency properties of magnetic materials for their application in high-speed devices. Here, we investigate different mechanisms which determine FMR damping in bilayer ferromagnetic/antiferromagnetic (F/AF and AF/F) exchange bias systems. Variations of FMR LW with the thickness and deposition order of the F and AF layers were studied, as well as their correlation with the exchange bias field and roughness of the sample surface. We observed much larger LW in AF/F structures compared with F/AF samples. It was found that neither the exchange bias nor surface/interface roughness in the samples could explain the difference in LW for F/AF and AF/F samples. Instead, the different underlayer microstructure influenced the grainsize, leading to different angular dispersion of magnetization and different internal stray field in F-layers, promoting a different intensity of magnon scattering and FMR damping in F/AF and AF/F samples. Full article
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