Modeling the Training Effect in Exchange-Biased Bilayers for Large Numbers of Magnetization Reversal Cycles
Fiedler J, Wortmann M, Blachowicz T, Ehrmann A (2024)
PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Fiedler, Johannes;
Wortmann, MartinUniBi;
Blachowicz, Tomasz;
Ehrmann, Andrea
Einrichtung
Abstract / Bemerkung
The exchange bias (EB) is a unidirectional anisotropy that occurs, e.g., upon field-cooling ferromagnet/antiferromagnet systems. In many material systems, the EB field is reduced from one hysteresis loop to the next measurement. This so-called training effect (TE) has been investigated in experiments and by means of theoretical efforts by many research groups. The reduction of the EB field as a result of subsequent magnetization reversal processes is often fitted by a power law, usually with the exception of n = 1, or with an equation based on the discretized Landau-Khalatnikov equation, as first suggested by Binek. Few other models, usually with more fitting parameters, have been proposed yet. Herein, it is shown that for large numbers of subsequent magnetization reversal processes in Co/CoO thin film samples, a modified power law or a logarithmic fit can model the TE in most cases as well as the abovementioned, commonly used models. The training effect (TE) in two epitaxial Co/Co3O4 exchange bias systems can be modeled by a logarithmic function as well as by a modified power law or the Binek function. No TE is found on the right side of the (110)-oriented sample, while a pronounced TE on both sides of the loop is observed in the (111)-oriented sample.image (c) 2024 WILEY-VCH GmbH
Stichworte
Binek fit;
Co/CoO;
exchange bias;
Landau-Khalatnikov equation;
power;
law;
training effects
Erscheinungsjahr
2024
Zeitschriftentitel
PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS
Urheberrecht / Lizenzen
ISSN
0370-1972
eISSN
1521-3951
Page URI
https://pub.uni-bielefeld.de/record/2986275
Zitieren
Fiedler J, Wortmann M, Blachowicz T, Ehrmann A. Modeling the Training Effect in Exchange-Biased Bilayers for Large Numbers of Magnetization Reversal Cycles. PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS. 2024.
Fiedler, J., Wortmann, M., Blachowicz, T., & Ehrmann, A. (2024). Modeling the Training Effect in Exchange-Biased Bilayers for Large Numbers of Magnetization Reversal Cycles. PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS. https://doi.org/10.1002/pssb.202300435
Fiedler, Johannes, Wortmann, Martin, Blachowicz, Tomasz, and Ehrmann, Andrea. 2024. “Modeling the Training Effect in Exchange-Biased Bilayers for Large Numbers of Magnetization Reversal Cycles”. PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS.
Fiedler, J., Wortmann, M., Blachowicz, T., and Ehrmann, A. (2024). Modeling the Training Effect in Exchange-Biased Bilayers for Large Numbers of Magnetization Reversal Cycles. PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS.
Fiedler, J., et al., 2024. Modeling the Training Effect in Exchange-Biased Bilayers for Large Numbers of Magnetization Reversal Cycles. PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS.
J. Fiedler, et al., “Modeling the Training Effect in Exchange-Biased Bilayers for Large Numbers of Magnetization Reversal Cycles”, PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS, 2024.
Fiedler, J., Wortmann, M., Blachowicz, T., Ehrmann, A.: Modeling the Training Effect in Exchange-Biased Bilayers for Large Numbers of Magnetization Reversal Cycles. PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS. (2024).
Fiedler, Johannes, Wortmann, Martin, Blachowicz, Tomasz, and Ehrmann, Andrea. “Modeling the Training Effect in Exchange-Biased Bilayers for Large Numbers of Magnetization Reversal Cycles”. PHYSICA STATUS SOLIDI B-BASIC SOLID STATE PHYSICS (2024).
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