Monte Carlo study of the random magnetic field effect on the phase diagrams of a spin-1 cylindrical nanowire

Zaim, N.; Zaim, A.; Kerouad, M.

doi:10.1016/j.jallcom.2015.12.145

Cited by 33 publications

(4 citation statements)

References 60 publications

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“…To the best our knowledge, all of the studies mentioned above have been dedicated to bulk materials in the presence of randomly varying magnetic field. There are, however, only a few studies regarding the random magnetic field effects on the core/shell nanoparticle systems including surface and finite size effects [36][37][38]. It is a well known fact that when the physical size of an interacting magnetic system reduces to a characteristic length, surface effects begin to show themselves on the system, and as a result of this, some interesting behaviours can be observed, differing from those of bulk systems [39].…”

Section: Introductionmentioning

confidence: 99%

Nonequilibrium Multiple Transitions in the Core-shell Ising Nanoparticles Driven by Randomly Varying Magnetic Fields

Vatansever,

Acharyya

2020

Preprint

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The nonequilibrium behaviour of a core-shell nanomagnet has been studied by Monte-Carlo simulation. The core consists of Ising spins of σ = 1/2 and the shell contains Ising spins of S = 1. The interactions within the core and in the shell are considered ferromagnetic but the interfacial interaction between core and shell is antiferromagnetic. The nanomagnetic system is kept in open boundary conditions and is driven by randomly varying (in time but uniform over the space) magnetic field. Depending on the width of the randomly varying field and the temperature of the system, the core, shell and total magnetization varies in such a manner that the time averages vanish for higher magnitude of the width of random field, exhibiting a dynamical symmetry breaking transitions. The susceptibilities get peaked at two different temperatures indicating nonequilibrium multiple transitions. The phase boundaries of the nonequilibrium multiple transitions are drawn in the plane formed by the axes of temperature and the width of the randomly varying field.

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Section: Introductionmentioning

confidence: 99%

Nonequilibrium Multiple Transitions in the Core-shell Ising Nanoparticles Driven by Randomly Varying Magnetic Fields

Vatansever,

Acharyya

2020

Preprint

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“…The model has been also used to understand the magnetic properties of nanostructured systems, due to has an important role in the deeper understanding of behaviors in magnetic systems. In this concept, the magnetic nanowires have been investigated within the various theoretical methods, such as effective-field theory (EFT) with correlations [44][45][46], meanfield theory (MFT) [47][48][49], and Monte Carlo (MC) simulations [50]. The dynamic magnetic properties of Ising nanowire systems are also investigated by using the above theoretical methods [51][52][53].…”

Section: Introductionmentioning

confidence: 99%

Ising-tipi çok segmentli nanoyapıda kompozisyon ve sıcaklık bağımlılıkları

Kantar¹

2018

Academic Platform Journal of Engineering and Science

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In the present study, an Ising-type multisegment nanowire (IMN) with ferromagnetic / non-magnetic segment structure is investigated by means of the effective-field theory (EFT) with correlations. The effects of the composition (p) and temperature (T) on the magnetic hysteresis properties are investigated in detail. The coercive field (HC) and squareness (Mr /MS) of the IMN is also derived from hysteresis loops as a function of p and T. In this system, it was found that the p and T have a significant effect on the magnetic behavior. When the obtained theoretical results compare with some experimental works of nanowire in view of hysteresis behaviors, a very good agreement between them is observed.

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“…On the other hand, from the theoretical point of view, a great deal of studies have been devoted to investigate the thermal and magnetic features of nanoparticles such as nanocube, nanosphere, nanorod, nanotube as well as nanowire by means of several types of methods such as mean-field theory (MFT) [11,12,13], Green function formalism (GF) [14], cluster variation method (CVM) [15], effective-field theory (EFT) with single-site correlations [16,17,18,19,20,21,22], and MC simulation technique [11,23,24,25,26,27,28,29,30,31,32,33]. For example, by making use of MC simulation technique with Metropolis algorithm, thermal and magnetic phase transition properties of antiferromagnetic/ferrimagnetic core/shell nanoparticles have been studied by Vasilakaki and co-workers in detail [25].…”

Section: Introductionmentioning

confidence: 99%

Thermal and magnetic phase transition properties of a binary alloy spherical nanoparticle: A Monte Carlo simulation study

Vatansever

2017

Journal of Magnetism and Magnetic Materials

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We have used the Monte Carlo (MC) simulation method with Metropolis algorithm to study the finite temperature phase transition properties of a binary alloy spherical nanoparticle with radius r of the type A p B 1−p . The system consists of two different species of magnetic components, namely, A and B, and the components of the system have been selected A and B to be as σ = 1/2 and S = 1, respectively. A complete picture of phase diagrams, total magnetizations and susceptibilities in related planes have been presented, and the main roles of the radius of nanoparticle, active concentration value of type-A atoms as well as other system parameters on the thermal and magnetic phase transition features of the considered system have been discussed in detail. Our MC investigations clearly show that it is possible to control the critical characteristic behaviors of the system with the help of adjustable Hamiltonian parameters.

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Monte Carlo study of the random magnetic field effect on the phase diagrams of a spin-1 cylindrical nanowire

Cited by 33 publications

References 60 publications

Nonequilibrium Multiple Transitions in the Core-shell Ising Nanoparticles Driven by Randomly Varying Magnetic Fields

Nonequilibrium Multiple Transitions in the Core-shell Ising Nanoparticles Driven by Randomly Varying Magnetic Fields

Ising-tipi çok segmentli nanoyapıda kompozisyon ve sıcaklık bağımlılıkları

Thermal and magnetic phase transition properties of a binary alloy spherical nanoparticle: A Monte Carlo simulation study

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