Monte Carlo simulation of charge mediated magnetoelectricity in multiferroic bilayers

Ortíz-Álvarez, Hugo Hernán; Bedoya-Hincapié, C.M.

doi:10.1016/j.physb.2014.08.002

Cited by 20 publications

(7 citation statements)

References 16 publications

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“…The various electric polarization and hysteresis cycle as the change of the different exchange interaction and magnetic field, as well as the Curie and Neel temperature of the system, were given. Applying the Monte Carlo method and Metropolis dynamics, a simulation of a FM/FE multiferroic bilayer system was performed by Ortiz-Álvarez et al and aimed to investigate the magnetoelectric interactions of the system [20]. In Refs.…”

Section: Introductionmentioning

confidence: 99%

Insight into dynamic magnetic properties of YMnO3/FM bilayer in a time-dependent magnetic field

Chang

Wang

et al. 2021

Preprint

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Based on the Monte Carlo simulation, a mixed-spin (5/2, 2, 3/2) Ising model is constructed to investigate the dynamic magnetic properties of antiferromagnetic/ferromagnetic YMnO 3 /FM bilayer under the existence of a time-dependent magnetic field. The effects of exchange interaction, oscillating magnetic field as well as temperature are involved in this work. Masses of numerical results of the dynamic order parameter, susceptibility, internal energy, and blocking temperature are obtained with diverse physical parameters. Moreover, the phase diagrams and the hysteresis loops of the system are discussed in detail as well for a better understanding of the dynamic properties of the present system.

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Section: Introductionmentioning

confidence: 99%

Insight into dynamic magnetic properties of YMnO3/FM bilayer in a time-dependent magnetic field

Chang

Wang

et al. 2021

Preprint

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“…In order to explore its potential applications, several techniques have been used to produce these materials [6][7][8]. Furthermore, there has been significant interest in modeling and simulating the magnetic properties of this material, especially using the Monte Carlo method [9][10][11][12], and the Metropolis algorithm, widely used in nanoelectronics and mechanics modeling problems [13].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Pressure on the Formation of FM/AF Configurations in LSMO Films: A Monte Carlo Approach

et al. 2020

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In this work, Monte Carlo simulations of magnetic properties of thin films, including the influence of an external pressure, are presented. These simulations were developed using a Hamiltonian composed by terms that represent the exchange interaction, dipolar interaction, Zeeman effect, monocrystalline anisotropy, and pressure influence. The term that represents the pressure influence on the magnetic properties was included, since for many applications, magnetic materials are a part of a multiferroic material together with a piezoelectric or a ferroelectric compound. Initially, the model was developed using generic parameters, in order to probe its suitable performance; after that, parameters were adjusted for simulating thin films of La0.67Sr0.33MnO3, a manganite with several technological applications because its Curie temperature is greater than room temperature. Including the pressure influence, it was observed the formation of several kind of FM/AF configurations as strip, labyrinth, and chess board forms. Furthermore, it was observed that, as the pressure increased, the critical temperature tended to decrease, and this result was in agreement with experimental reports.

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“…Multiferroics and superlattices of multiferroics (for example, PZT/LSMO and BTO/LSMO) currently attract many research activities on these materials because of the coexistence of ferroelectric and magnetic orderings. A large number of investigations was devoted to the non-uniform states in magneto-ferroelectric superlattices both theoretically [47] and experimentally [48][49][50][51][52][53][54]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Skyrmion Crystals and Phase Transitions in Magneto-Ferroelectric Superlattices: Dzyaloshinskii–Moriya Interaction in a Frustrated J1 − J2 Model

Sharafullin

Diep

2019

Symmetry

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The formation of a skyrmion crystal and its phase transition are studied, taking into account the Dzyaloshinskii-Moriya (DM) interaction at the interface between a ferroelectric layer and a magnetic layer in a superlattice. Frustration is introduced in both magnetic and ferroelectric films. The films have a simple cubic lattice structure. The spins inside the magnetic layers are Heisenberg spins interacting with each other via nearest-neighbor (NN) exchange J m and next-nearest-neighbor (NNN) exchange J 2m . The polarizations in the ferroelectric layers are assumed to be of Ising type with NN and NNN interactions J f and J 2 f . At the magnetoelectric interface, a DM interaction J m f between spins and polarizations is supposed. The spin configuration in the ground state is calculated by the steepest descent method. In an applied magnetic field H perpendicular to the layers, we show that the formation of skyrmions at the magnetoelectric interface is strongly enhanced by the frustration brought about by the NNN antiferromagnetic interactions J 2m and J 2 f . Various physical quantities at finite temperatures are obtained by Monte Carlo simulations. We show the critical temperature, the order parameters of magnetic and ferroelectric layers as functions of the interface DM coupling, the applied magnetic field, and J 2m and J 2 f . The phase transition to the disordered phase is studied in detail.

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Monte Carlo simulation of charge mediated magnetoelectricity in multiferroic bilayers

Cited by 20 publications

References 16 publications

Insight into dynamic magnetic properties of YMnO3/FM bilayer in a time-dependent magnetic field

Insight into dynamic magnetic properties of YMnO3/FM bilayer in a time-dependent magnetic field

The Influence of Pressure on the Formation of FM/AF Configurations in LSMO Films: A Monte Carlo Approach

Skyrmion Crystals and Phase Transitions in Magneto-Ferroelectric Superlattices: Dzyaloshinskii–Moriya Interaction in a Frustrated J1 − J2 Model

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