The hysteresis curves of nanoparticles obtained by Monte Carlo method based on the Stoner-Wohlfarth model

Du, H. F.; Du, An

doi:10.1063/1.2193068

Cited by 44 publications

(18 citation statements)

References 13 publications

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“…In the Monte Carlo simulations, the particles in the system are treated in two ways according to the energy regions they belong to [17].…”

Section: Monte Carlo Methodsmentioning

confidence: 99%

Effect of exchange and dipolar interactions on the hysteresis of magnetic nanoparticle systems

Du²

2007

Physica Status Solidi (b)

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The dependence of remanence and coercivity on the exchange and dipolar fields in a three-dimensional simple cubic assembly of nanoparticles is studied by a modified Monte Carlo method in which the thermal fluctuation of magnetic moments of nanoparticles is completely considered. The long-range dipolar interaction is summed directly in real space during the simulation. It is found that the dipolar field elongates the hysteresis loop horizontally, but the exchange field elongates it vertically. The competition between dipolar and exchange interparticle interactions leads to complex dependences of the remanence and coercivity on the exchange and dipolar fields at low temperature. Both remanence and coercivity decrease with the increase of temperature. Some results are in agreement with the experimental measurements.

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“…In the Monte Carlo simulations, the particles in the system are treated in two ways according to the energy regions they belong to [17].…”

Section: Monte Carlo Methodsmentioning

confidence: 99%

Effect of exchange and dipolar interactions on the hysteresis of magnetic nanoparticle systems

Du²

2007

Physica Status Solidi (b)

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“…25. Indeed, it results in the analysis of each energy landscape of the possible orientation change of magnetic moment belonging to a randomly oriented anisotropic assembly of non-interacting moments.…”

Section: -mentioning

confidence: 99%

“…-the third problem is concerned by the idea of Du and Du 25 where a breakdown occurs if more than two minima and/or saddle points are found in the energy landscape. The increased complexity of such algorithm with number of minima/saddle points seems to be tricky to implement; in addition, such an algorithm is not relevant for an assembly of magnetic moments interacting by exchange.…”

Section: -mentioning

confidence: 99%

Modeling of hysteresis loops by Monte Carlo simulation

et al. 2015

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Recent advances in MC simulations of magnetic properties are rather devoted to non-interacting systems or ultrafast phenomena, while the modeling of quasi-static hysteresis loops of an assembly of spins with strong internal exchange interactions remains limited to specific cases. In the case of any assembly of magnetic moments, we propose MC simulations on the basis of a three dimensional classical Heisenberg model applied to an isolated magnetic slab involving first nearest neighbors exchange interactions and uniaxial anisotropy. Three different algorithms were successively implemented in order to simulate hysteresis loops: the classical free algorithm, the cone algorithm and a mixed one consisting of adding some global rotations. We focus particularly our study on the impact of varying the anisotropic constant parameter on the coercive field for different temperatures and algorithms. A study of the angular acceptation move distribution allows the dynamics of our simulations to be characterized. The results reveal that the coercive field is linearly related to the anisotropy providing that the algorithm and the numeric conditions are carefully chosen. In a general tendency, it is found that the efficiency of the simulation can be greatly enhanced by using the mixed algorithm that mimic the physics of collective behavior. Consequently, this study lead as to better quantified coercive fields measurements resulting from physical phenomena of complex magnetic (nano)architectures with different anisotropy contributions.

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“…Over the years several modified MC methods have been proposed to treat the problem of overcoming the local minima during the MC numerical procedure depending on the details of the system (e.g. Chantrell et al, 2001;Hinzke & Nowak, 1999;H. F. Du & A.…”

Section: Metropolis Monte Carlo Simulation For the Magnetic Nanopartimentioning

confidence: 99%

Monte Carlo Studies of Magnetic Nanoparticles

Trohidou¹,

Vasilakaki²

2011

Applications of Monte Carlo Method in Science and Engineering

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The hysteresis curves of nanoparticles obtained by Monte Carlo method based on the Stoner-Wohlfarth model

Cited by 44 publications

References 13 publications

Effect of exchange and dipolar interactions on the hysteresis of magnetic nanoparticle systems

Effect of exchange and dipolar interactions on the hysteresis of magnetic nanoparticle systems

Modeling of hysteresis loops by Monte Carlo simulation

Monte Carlo Studies of Magnetic Nanoparticles

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