Exchange bias and its training effect in Ni/NiO nanocomposites

Guo, Shujing; Liu, W.; Meng, Hong-Hu; Liu, X.H.; Gong, Wenyu; Han, Zheng; Zhang, Z.D.

doi:10.1016/j.jallcom.2010.03.003

Cited by 30 publications

(20 citation statements)

References 17 publications

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“…Although there has been some research on EB in granular materials in the last decades [7][8][9][10][11][12], but the majority of research has focused mainly on thin film systems [13][14][15][16][17]. This is mostly because the spin distribution in granular systems particularly core-shell NPs are essentially more intricate than that of thin films.…”

Section: Introductionmentioning

confidence: 99%

Synthesis and ageing effect in FeO nanoparticles: Transformation to core–shell FeO/Fe3O4 and their magnetic characterization

Sharma

Vargas

Pirota

et al. 2011

Journal of Alloys and Compounds

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Section: Introductionmentioning

confidence: 99%

Synthesis and ageing effect in FeO nanoparticles: Transformation to core–shell FeO/Fe3O4 and their magnetic characterization

Sharma

Vargas

Pirota

et al. 2011

Journal of Alloys and Compounds

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“…According to this mechanism, the hysteresis loops should shrink from both sides, which was consistent with the findings in Paccard et al's experiment. Subsequently, in order to interpret various experimental findings, [17][18][19][20][21][22][23] an enormous number of models has been put forward to describe the training effect. [24][25][26][27][28][29][30] It is generally believed that the origin of the training effect is related to the change in the spin state of antiferromagnets compared to the original state after field cooling.…”

mentioning

confidence: 99%

Surface-anisotropy and training effects of exchange bias in nanoparticles with inverted ferromagnetic-antiferromagnetic core-shell morphology

2011

Journal of Applied Physics

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A modified Monte Carlo method using the Metropolis algorithm is performed to simulate the hysteresis behaviors of the nanoparticles with an inverted antiferromagnetic (core)/ferromagnetic (shell) morphology at low temperature after field cooling. We have examined the dependence of exchange bias on the hard ferromagnetic surface anisotropy and the training effect. Our simulations reveal that, besides the antiferromagnetic core, another pinning source, namely, the hard ferromagnetic surface, can also contribute to the exchange bias in such a special structure. Above a critical surface anisotropy, the exchange bias field has a steep increase by means of the change of the magnetization reversal mechanisms, which are affected by the surface anisotropy. During the consecutive hysteresis loops, the exchange bias field decreases gradually to a constant value. The phenomena have been interpreted well by considering the combination of locking, releasing, and stabilizing of the spins on the antiferromagnetic core surface and the energy competition between Zeeman and antiferromagnetic anisotropy. Our results are in good agreement with the experimental findings.

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“…In this phaseseparated perovskite oxide, it seems that the Nd 0.85 Sr 0.15 CoO 3 consists of FM clusters, non-FM regions, and SG regions that surround the FM clusters as interface layers between the FM regions and non-FM regions. As is well known, the proportion of coexisting phases can be influenced by the external field, particularly for the FM clusters and SG regions; while EB has often been observed in heterogeneous systems containing FM/AFM, FM/ferrimagnetic and FM/SG interfaces [32][33][34][35]. Therefore, it would be interesting to explore the EB effect at different measuring fields in this intrinsically phase-separated Nd 0.85 Sr 0.15 CoO 3 cobaltite.…”

Section: Resultsmentioning

confidence: 92%