Concentration Phase Transition and Hysteresis Phenomena in Co-Nanofilms. Computer Data Processing and Simulation

Nefedev, Konstantin; Kapitan, Vitalii

doi:10.4028/www.scientific.net/amr.718-720.69

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…Thus, the magnetic moment of a sample might increase a lot. Supercomputer simulations of cluster atomic and subatomic films of magnetic material on the nonmagnetic surface conducted in the work [7] confirmed the existence of the so-called percolation threshold (critical concentration of magnetic material) at which the system of superparamagnetic particles becomes ferromagnetic, i.e. appears a spontaneous magnetization.…”

Section: Introductionmentioning

confidence: 73%

Influence of Magnetostatic Interactions on Magnetization Process of Iron-Containing Coatings, Produced Using the Plasma Electrolytic Oxidation Method

Харитонский

Frolov

Boev

et al. 2014

SSP

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In this paper we research the process of magnetization of iron-containing coatings obtained on aluminum and titanium plasma electrolytic oxidation. It is shown that the formation of a remnant magnetic moment mainly determined by the magnetostatic interaction particles (phases). This interaction leads to a decrease of the blocking volume of particles (phases). Thus, a large number of superparamagnetic particles (phases) obtain stable magnetic moments and are involved in creating of the remnant magnetization of the sample.

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Section: Introductionmentioning

confidence: 73%

Influence of Magnetostatic Interactions on Magnetization Process of Iron-Containing Coatings, Produced Using the Plasma Electrolytic Oxidation Method

Харитонский

Frolov

Boev

et al. 2014

SSP

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show abstract

“…In each step, i.e., for each considered value of the field, we find the magnetic configuration corresponding to the local energy minimum for all transitions from the configuration reached in the previous step. This quasi-adiabatic change of the magnetic configurations induced by almost continuous variation of the H ext allows us to determine the de-pendence of net magnetic moment on the external field: 42,43 The numerical calculations were performed for PS and QPS composed of 144 magnetic moments, which is the number of NWs in the experimental structures.…”

Section: Monte Carlo Simulations In the Ising Modelmentioning

confidence: 99%

Remagnetization in arrays of ferromagnetic nanostripes with periodic and quasiperiodic order

et al. 2019

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We investigate experimentally and theoretically the magnetization reversal process in onedimensional magnonic structures composed of permalloy nanowires of the two different widths and finite length arranged in a periodic and quasiperiodic order. The main features of the hysteresis loop are determined by different shape anisotropies of the component elements and the dipolar interactions between them. We showed, that the dipolar interactions between nanowires forming a ribbon can be controlled by change a distance between the neighboring ribbons. The quasiperiodic order can influence the hysteresis loop by introduction additional tiny switching steps when the dipolar interactions are sufficiently strong. arXiv:1810.02796v1 [cond-mat.mes-hall]

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“…The authors of this paper develop the approaches to supercomputer simulation of clustered monolayer and submonolayer magnetic films on the basis of the experimental STM data [46], and numerical modeling of magnetic states of nanodots and nano-architectures [47][48][49][50][51]. The approaches we use are also applicable in obtainment of more accurate interpretation of the experimental data and prediction of magnetic properties of nanosamples on silicone, and in conjunction with the studied nano-objects.…”

Section: Intoductionmentioning

confidence: 99%

Numerical calculations of magnetic properties of nanostructures

Kapitan,

Peretyatko,

Nefedev

2015

Preprint

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Magnetic force microscopy and scanning tunneling microscopy data could be used to test computer numerical models of magnetism. The elaborated numerical model of a face-centered lattice Ising spins is based on pixel distribution in the image of magnetic nanostructures obtained by using scanning microscope. Monte Carlo simulation of the magnetic structure model allowed defining the temperature dependence of magnetization; calculating magnetic hysteresis curves and distribution of magnetization on the surface of submonolayer and monolayer nanofilms of cobalt, depending on the experimental conditions. Our developed package of supercomputer parallel software destined for a numerical simulation of the magnetic-force experiments and allows obtaining the distribution of magnetization in one-dimensional arrays of nanodots and on their basis. There has been determined interpretation of magneto-force microscopy images of magnetic nanodots states. The results of supercomputer simulations and numerical calculations are in the good compliance with experimental data.

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Concentration Phase Transition and Hysteresis Phenomena in Co-Nanofilms. Computer Data Processing and Simulation

Cited by 6 publications

References 10 publications

Influence of Magnetostatic Interactions on Magnetization Process of Iron-Containing Coatings, Produced Using the Plasma Electrolytic Oxidation Method

Influence of Magnetostatic Interactions on Magnetization Process of Iron-Containing Coatings, Produced Using the Plasma Electrolytic Oxidation Method

Remagnetization in arrays of ferromagnetic nanostripes with periodic and quasiperiodic order

Numerical calculations of magnetic properties of nanostructures

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