Fractional operators for the magnetic dynamic behavior of ferromagnetic specimens: An overview
Source abstract
Abstract
This paper reviews the use of the fractional derivative operators for the dynamic magnetization of ferromagnetic specimens. Magnetic behaviors in ferromagnetic specimens are strongly nonlinear and frequency dependent. Magnetism has an atomic origin but the magnetic behavior as observed at the human scale is highly affected by phenomena occurring at larger scales. Under the influence of an external magnetic field, the homogeneity of a ferromagnetic sample magnetization is linked to the excitation dynamics. Models and simulations in this domain are strongly needed, as they provide theoretical explanations and allow us to anticipate complex phenomena, difficult to observe in a practical way. On the one hand, such multi-scale dynamical behaviors can hardly be taken into account with the usual mathematical operators. On the other hand, correct simulation results on large frequency bandwidths can be obtained using fractional derivative operators. The use of fractional derivatives can be envisaged through different approaches: Lump models based on time fractional differential equations is one option, and fractional anomalous diffusion equations is another. In this manuscript, these two methods are detailed and compared. Theoretical results are compared to experimental ones, and conclusions and perspectives are drawn such as possible improvements.
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Research context
OpenAlex topics: Magnetic Properties and Applications · Fractional Differential Equations Solutions · Magnetic properties of thin films
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Laboratoire de Génie Electrique et Ferroélectricité–INSA de Lyon 1 , 69100 Villeurbanne, France
ELyTMaX UMI 3757, CNRS–Université de Lyon–Tohoku University, International Joint Unit, Tohoku University 2 , 980-8577 Sendai, Japan
Faculty of Engineering and Technology, University of Buea 3 , 99999 Buea, Cameroon
Green Manufacturing R&D Laboratory, School of Mechanical, Electrical and Information Engineering, Shandong University 4 , 264209 Weihai, China
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