Origin of the Angular Dependent Magnetization Reversal Processes in Exchange-Biased Bilayers

Hu, Yong; Shi, Feng; Wu, Guozhen; Jia, Ning; Liu, Yan; Du, An

doi:10.7566/jpsj.82.064602

Cited by 9 publications

(3 citation statements)

References 42 publications

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“…On the other hand, the hysteresis loops are obtained by cycling the magnetic field between H=5 and -5 kOe at a target temperature without any cooling process. The initial state of the system is saturated along the positive magnetic field direction to mimic a nearly completely uncompensated AF surface close to the FM core created after fully magnetizing in the cooling process [27,28]. For obtaining EB training, the hysteresis loop is repeatedly measured by a cycle index of n=20.…”

Section: S S S Smentioning

confidence: 99%

“…For obtaining EB training, the hysteresis loop is repeatedly measured by a cycle index of n=20. The Monte Carlo Metropolis algorithm has been modified by explicitly calculating the spin energy in the framework of the Stoner-Wohlfarth (SW) model to determine the spin flipping probability, which can effectively prevent the non-physical spin flip by tunneling across the energy barrier [27][28][29][30][31][32][33]. A sufficient simulation time measured by Monte Carlo step is used to guarantee the thermal quasiequilibrium, that is, the 10 5 Monte Carlo steps are initially performed and then discarded to equilibrate the system, followed by another 10 5 Monte Carlo steps to calculate the magnetization and magnetic energy.…”

Section: S S S Smentioning

confidence: 99%

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Prediction of reentering and switching ferromagnet/antiferromagnet exchange bias by antiferromagnetic proximity effect

2018

Nanotechnology

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Exchange bias (EB) in ferromagnet/antiferromagnet (FM/AF) core/shell nanoparticles can be used to beat the superparamagnetic limit, and these core/shell nanoparticles are commonly fabricated by the ferromagnetic cores that are naturally oxidized to form an antiferromagnetic shell. The drawbacks of this method are that the EB effect is weak and hard to be controlled due to the shell passivation effect. Thus a theoretical work is conceived where the FM/AF core/shell nanoparticles are embedded into an antiferromagnetic matrix, and an antiferromagnetic proximity effect is induced to modulate the FM/AF EB effect in a controlled way. The results show that the shell/matrix proximity may enhance the magnetic stabilization of nanoparticles to generate the core/shell EB if the matrix is a hard AF. On the other hand, a rigid core/shell EB can switch its sign through thermal training by using a softly antiferromagnetic matrix. The local magnetization behaviors and energy barrier variations during magnetizing well interpreted the simulation results. It is evidenced that the proximity effect can optimize the magnetic properties of the pinning antiferromagnetic layer at will, ranging from statically magnetic stability to dynamically magnetic relaxation. This work opens fascinating possibilities for engineering of magnetic materials with desired magnetic properties, which has led to a surge in both experimental and theoretical investigations.

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Section: S S S Smentioning

confidence: 99%

Section: S S S Smentioning

confidence: 99%

Prediction of reentering and switching ferromagnet/antiferromagnet exchange bias by antiferromagnetic proximity effect

2018

Nanotechnology

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“…Several works have reported that the distribution of anisotropy easy axes is a significant parameter affecting the value of coercivity and the exchange bias field. [14,15,16,17,18,19,20,21,22]. The study of magnetically coupled NiFe/NiO layers including the effect of the easy axis distribution was first reported by Zhao et al in ref.…”

Section: Introductionmentioning

confidence: 99%

Micromagnetic model of exchange bias: effects of structure and AF easy axis dispersion for IrMn/CoFe bilayers

Daeng-am¹,

Chureemart²,

Rittidech³

et al. 2019

J. Phys. D: Appl. Phys.

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A micromagnetic model of an exchange bias bilayer is used to examine the impact of the physical structure and the easy axis dispersion of the antiferromagnetic (AF) layer on the exchange bias field (H EB) in an IrMn/CoFe system. Because of the different timescales, the magnetization dynamics of the IrMn and CoFe layers are modelled using respectively a kinetic Monte Carlo (kMC) approach and Landau-Lifshitz-Gilbert (LLG) equation. The easy axis dispersion is modelled using a Gaussian distribution. The calculations show that H EB increases with increasing IrMn thickness and grain size, in agreement with experimental work. Moreover, the model allows the visualization of the switching process at the micromagnetic level to reveal the reversal mechanism. We find that the effect of AF easy axis distribution not only strongly affects the reduction of H EB but also drives non-coherent behaviour in the reversal mechanism. This confirms that the easy axis distribution is an important factor with strong impact on the magnetic properties and exchange bias field of an exchange bias system.

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Effect of misaligned unidirectional and uniaxial anisotropies on angular dependence of exchange bias

Wang

Jia

et al. 2015

Journal of Magnetism and Magnetic Materials

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Origin of the Angular Dependent Magnetization Reversal Processes in Exchange-Biased Bilayers

Cited by 9 publications

References 42 publications

Prediction of reentering and switching ferromagnet/antiferromagnet exchange bias by antiferromagnetic proximity effect

Prediction of reentering and switching ferromagnet/antiferromagnet exchange bias by antiferromagnetic proximity effect

Micromagnetic model of exchange bias: effects of structure and AF easy axis dispersion for IrMn/CoFe bilayers

Effect of misaligned unidirectional and uniaxial anisotropies on angular dependence of exchange bias

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