2010
DOI: 10.1002/pssb.201046026
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Effect of cooling field strength and ferromagnetic shell shape on exchange bias in nanoparticles with inverted ferromagnetic–antiferromagnetic core‐shell morphology

Abstract: The dependence of exchange bias (EB) effects on cooling field strength and particle shape in nanoparticles with antiferromagnetic (AFM) interfacial coupling and inverted AFM core with a fixed radius and ferromagnetic (FM) shell with various thicknesses are investigated by using a modified Monte Carlo Metropolis method. It is found that with the increase of cooling field, field-cooled exchange bias field (H E ) fluctuates in the range of negative values initially, and then has an abrupt jump from the negative v… Show more

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Cited by 33 publications
(6 citation statements)
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“…Moreover, the hysteresis loops decrease as the temperature increases. These results are consistent with some experimental [62][63][64][65][66][67][68] and theoretical results [54,56,69,70].…”
Section: The Influence Of the Temperaturesupporting
confidence: 92%
See 1 more Smart Citation
“…Moreover, the hysteresis loops decrease as the temperature increases. These results are consistent with some experimental [62][63][64][65][66][67][68] and theoretical results [54,56,69,70].…”
Section: The Influence Of the Temperaturesupporting
confidence: 92%
“…Theoretically, magnetic properties of nanomaterials have been studied by various techniques such as variational cumulant expansion (VCE) [17,18], Green functions (GF) formalism [19], mean field theory (MFT) [20][21][22][23][24][25][26], effective field theory (EFT) with correlations [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42], and Monte Carlo (MC) simulations [43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58]. From these studies we see that the core-shell structure can be successfully perform to nanomagnetism for nanomaterials.…”
Section: Introductionmentioning
confidence: 99%
“…On the theoretical side, much effort has also been devoted, and these systems have been studied by a wide variety of techniques such as mean field theory (MFT) [17][18][19][20][21][22][23], effective field theory (EFT) with correlations [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35], Green functions (GF) formalism [36], variational cumulant expansion (VCE) [37,38], and Monte Carlo (MC) simulations [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54]. Monte Carlo simulation [55] is regarded as a powerful numerical approach for simulating the behavior of many complex systems, including magnetic nanoparticle systems.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, by utilizing this tool, Refs. [39][40][41][42][43][44][45][46][47][48][49][50] investigated the exchange bias effect in magnetic core-shell nanoparticles where the hysteresis loop exhibits a shift below the Neél temperature of the antiferromagnetic shell due to the exchange coupling at the interface region of ferromagnetic core and antiferromagnetic shell. Furthermore, according to recent Monte Carlo studies, it has been shown that the core-shell concept can be successfully applied in nanomagnetism since it is capable of explaining various characteristic behaviors observed in nanoparticle magnetism [51][52][53][54].…”
Section: Introductionmentioning
confidence: 99%
“…However, only very recently, some works partially addressing the numerical studies of EB effects in magnetic NPs have been published [18][19][20][21][22][23][24]. In order to understand the origin of the loop shifts displayed numerically in NPs with core-shell morphology, the researchers simulated, using the Monte Carlo (MC) technique, the atomic-scale modeling where the spins interact with nearest-neighbor Heisenberg interactions.…”
Section: Introductionmentioning
confidence: 99%