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Magnetization field-dependences and the “exchange bias” in ferro/antiferromagnetic systems. I. Model of a bilayer ferromagnetic

Low Temp. Phys. 35, 476 (2009); doi:10.1063/1.3151994

Issue Date: June 2009

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A. G. Grechnev and A. S. Kovalev
B. I. Verkin Institute for Low-Temperature Physics and Engineering of the National Academy of Sciences of Ukraine, pr. Lenina 47, Kharkov 61103, Ukraine

M. L. Pankratova
V. N. Karazin Kharkov National University, pl. Svobody 4, Kharkov 61107, Ukraine
A qualitative model explanation of the experimentally obtained field dependences of the magnetization in ferro- and antiferromagnetic media in contact with one another is proposed. In this model a thin ferromagnetic (FM) film on an antiferromagnetic (AFM) substrate consists of only two ferromagnetic layers. This is the simplest model which admits a spatially nonuniform FM state. In this exactly solvable model it shown that a range of fields exists where a stable collinear (canted) structure of the FM subsystem obtains. This structure corresponds to inclined sections of the field dependence M(H) of the magnetization which are not associated with the kinetics of the magnetization reversal process. In the model proposed, for systems with large easy-plane anisotropy the magnetization reversal process with “exchange bias” taken into account is strictly symmetric as a function of the field provided that the additional weak FM anisotropy in the easy plane is neglected. When this anisotropy in the easy plane is taken into account hysteresis appears in the magnetization curve and the field dependence M(H) becomes asymmetric. ©2009 American Institute of Physics
History: Submitted 10 February 2009; revised 18 February 2009
Permalink: http://link.aip.org/link/?LTPHEG/35/476/1
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KEYWORDS and PACS

Keywords
PACS
  • 75.70.Cn
    Magnetic properties of interfaces
  • 75.30.Gw
    Magnetic anisotropy
  • 75.60.Ej
    Magnetization curves, hysteresis, Barkhausen and related effects
  • 75.60.Jk
    Magnetization reversal mechanisms
  • YEAR: 2009

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ISSN:
1063-777X (print)   1090-6517 (online)
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