Magnetic States of Nanodot Arrays. Physical and Numerical Experiments

Nefedev, Konstantin; Ivanov, Yurii P.; Peretyatko, Alexey; Belokon, V. I.

doi:10.4028/www.scientific.net/ssp.168-169.325

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…In our model, the nanoisland is on the rib of the lattice, and its longest side is significantly less than the length of rib. [34,35,36,37] present the results of numerical simulations of magneto-force microscopy experiments, and the results of studying the influence of shape anisotropy on the behaviour of the nanoislands. It is possible to make the conclusion that the MFM images show the absence of multi-domain states, and it is also possible to ignore the declination from uniform magnetisation of the nanoislands [17].…”

Section: Dipolar Modelmentioning

confidence: 99%

Effect of long- and short-range interactions on the thermodynamics of dipolar spin ice

Shevchenko¹,

Makarov²,

Nefedev³

2017

Physics Letters A

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The thermodynamic properties of dipolar spin ice on square, honeycomb and shakti lattices in the long-range and shortrange dipole interaction models are studied. Exact solutions for the density of states, temperature dependencies of heat capacity, and entropy are obtained for these lattices with a finite number of point dipoles by means of complete enumeration. The magnetic susceptibility and average size of the largest low-energy cluster are calculated for square spin ice by means of Wang-Landau and Metropolis methods. We show that the long-range interaction leads to a blurring of the energy spectrum for all considered lattices. The inclusion of the long-range interaction leads to a significant change in the thermodynamic behaviour. An additional peak of heat capacity appears in the case of the honeycomb lattice. The critical temperature shifts in the direction of low or high temperatures; the direction depends on the lattice geometry. The critical temperature of the phase transition of square spin ice in the long-range model with frustrated ground states is obtained with the Wang-Landau and Metropolis methods independently.

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Section: Dipolar Modelmentioning

confidence: 99%

Effect of long- and short-range interactions on the thermodynamics of dipolar spin ice

Shevchenko¹,

Makarov²,

Nefedev³

2017

Physics Letters A

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“…In [44][45][46], the authors presented the results of numerical simulation of magnetic force microscopy (MFM) experiments on the basis of which one can conclude that the MFM images of nanoparticle arrays (see, for example, [47] do not contain non-singledomain states of nanoislands and that the deviation from the uniform magnetization due to the presence of edge effects can be neglected even for square nanoparticles. For rectangular thin-film islands with significant shape anisotropy, the edge effects are still weaker.…”

Section: Artificial Arrays Of Superspin Icementioning

confidence: 99%

Multicanonical sampling of the space of states of ℋ(2, n)-vector models

Shevchenko

Макаров

Andriushchenko

et al. 2017

J. Exp. Theor. Phys.

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Problems of temperature behavior of specific heat are solved by the entropy simulation method for Ising models on a simple square lattice and a square spin ice (SSI) lattice with nearest neighbor interaction, models of hexagonal lattices with short-range (SR) dipole interaction, as well as with long-range (LR) dipole interaction and free boundary conditions, and models of spin quasilattices with finite interaction radius. It is established that systems of a finite number of Ising spins with LR dipole interaction can have unusual thermodynamic properties characterized by several specific-heat peaks in the absence of an external magnetic field. For a parallel multicanonical sampling method, optimal schemes are found empirically for partitioning the space of states into energy bands for Ising and SSI models, methods of concatenation and renormalization of histograms are discussed, and a flatness criterion of histograms is proposed. It is established that there is no phase transition in a model with nearest neighbor interaction on a hexagonal lattice, while the temperature behavior of specific heat exhibits singularity in the same model, in case of LR interaction. A spin quasilattice is found that exhibits a nonzero value of residual entropy. * shevchenko.ya@dvfu.ru † makarov.ag@dvfu.ru ‡

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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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Magnetic States of Nanodot Arrays. Physical and Numerical Experiments

Cited by 6 publications

References 6 publications

Effect of long- and short-range interactions on the thermodynamics of dipolar spin ice

Effect of long- and short-range interactions on the thermodynamics of dipolar spin ice

Multicanonical sampling of the space of states of ℋ(2, n)-vector models

Numerical calculations of magnetic properties of nanostructures

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