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The low-energy properties of two-dimensional ensembles of dipole-coupled magnetic nanoparticles are studied as function of structural disorder and particle coverage. Already small deviations from a square particle arrangement lift the…

Disordered Systems and Neural Networks · Physics 2009-11-10 P. J. Jensen , G. M. Pastor

The energy barrier distribution Eb of five samples with different concentrations x of Ni nanoparticles using scaling plots from ac magnetic susceptibility data has been determined. The scaling of the imaginary part of the susceptibility…

Strongly Correlated Electrons · Physics 2011-01-24 S. H. Masunaga , R. F. Jardim , R. S. Freitas , J. Rivas

A detailed investigation of the scaling relations recently proposed by [J. d'Albuquerque e Castro, D. Altbir, J. C. Retamal, and P. Vargas, Phys. Rev. Lett. 88, 237202 (2002)] to study the magnetic properties of nanoparticles is presented.…

Mesoscale and Nanoscale Physics · Physics 2011-06-20 P. Landeros , J. Escrig , D. Altbir , D. Laroze , J. d'Albuquerque e Castro , P. Vargas

We investigate the dependence of magnetic properties on the out-of-plane disorder strength $\Delta$, dipolar interaction strength $h^{}_d$ in two-dimensional ($l^{}_x\times l^{}_y$) ensembles of nanoparticles using numerical simulations.…

Materials Science · Physics 2021-09-14 Manish Anand

A general method for the quantification of dipolar interactions in assemblies of nanoparticles has been developed from a model sample constituted by magnetite nanoparticles of 5 nm in diameter, in powder form with oleic acid as a surfactant…

Materials Science · Physics 2015-10-28 Carlos Moya , Òscar Iglesias , Xavier Batlle , Amílcar Labarta

In this study, we show that any system consisting of magnetic dipoles forming ordered or disordered configurations can be simplified to a form mathematically equivalent to a system consisting of two magnetic dipoles. It is shown that the…

Materials Science · Physics 2014-02-05 Igor Dimitrov , Ulaş Dinç

The magnetic ordering due to the long range dipole coupling in an ensemble of magnetic islands is investigated. If the islands are large enough and closely separated, the average dipole energy per island can explain the magnitude of the…

Disordered Systems and Neural Networks · Physics 2015-06-24 P. J. Jensen , G. M. Pastor

The dipolar interaction is known to substantially affect the properties of magnetic nanoparticles. This is particularly important when the particles are kept in a fluid suspension or packed inside nano-carriers. In addition to its usual…

We implement extensive computer simulations to investigate the hysteresis characteristics in the ordered arrays ($l^{}_x\times l^{}_y$) of magnetic nanoparticles as a function of aspect ratio $A^{}_r=l^{}_y/l^{}_x$, dipolar interaction…

Materials Science · Physics 2022-02-25 Manish Anand

We model the stabilization of clusters and lattices of cuboidal particles with long-ranged magnetic dipolar and short-ranged surface interactions. Two realistic systems were considered: one with magnetization orientated in the [001]…

Soft Condensed Matter · Physics 2020-09-09 Igor Stankovic , Luis Lizardi , Carlos Garcia

The curvatures of two-particle energy levels with respect to the enclosed magnetic flux in mesoscopic disordered rings are investigated numerically. We find that the typical value of the curvatures is increased by interactions in the…

Disordered Systems and Neural Networks · Physics 2009-10-31 Andre Wobst , Dietmar Weinmann

Using the two-level approximation of the energy barrier, we perform extensive kinetic Monte Carlo simulations to probe the relaxation characteristics in a two-dimensional ($L^{}_x\times L^{}_y$) array of magnetic nanoparticle as a function…

Materials Science · Physics 2022-03-23 Manish Anand

Zero Field Cooling (ZFC) and Field Cooling (FC) protocols are commonly used to investigate the properties of magnetic nanoparticle systems. For non-interacting conditions the particle properties are fairly well correlated with the shape of…

Mesoscale and Nanoscale Physics · Physics 2018-01-23 David Serantes , Manuel Pereiro , Roy Chantrell , Daniel Baldomir

The magnetic relaxation processes in disordered two-dimensional ensembles of dipole-coupled magnetic nanoparticles are theoretically investigated by performing numerical simulations. The energy landscape of the system is explored by…

Materials Science · Physics 2009-11-13 G. M. Pastor , P. J. Jensen

Assemblies of magnetic nanoparticles exhibit interesting physical properties arising from the competition of intraparticle dynamics and interparticle interactions. In ordered arrays of magnetic nanoparticles magnetostatic interparticle…

Materials Science · Physics 2008-10-24 D. Kechrakos , K. N. Trohidou

The physical properties of magnetic nanoparticles have been investigated with focus on the influence of dipolar interparticle interaction. For weakly coupled nanoparticles, thermodynamic perturbation theory is employed to derive analytical…

Materials Science · Physics 2016-08-31 Petra E. Jönsson

The magnetic relaxation characteristics are investigated in the two-dimensional ($l^{}_x\times l^{}_y$) assembly of nanoparticles as a function of out-of-plane positional disorder strength $\Delta(\%)$ using numerical simulations. Such…

Materials Science · Physics 2021-09-28 Manish Anand

Dense systems of magnetic nanoparticles may exhibit dipolar collective behavior. However, two fundamental questions remain unsolved: i) whether the transition temperature may be affected by the particle anisotropy or it is essentially…

We present state-of-the-art configuration interaction and coupled cluster calculations of the electron electric dipole moment, the nucleon-electron scalar-pseudoscalar, and the magnetic hyperfine interaction constants ($\alpha_{d_e},…

Atomic Physics · Physics 2019-10-28 Timo Fleig , Leonid V. Skripnikov

We compute the scaling properties of the localization length $\xi_2$ of two interacting particles in a one-dimensional chain with diagonal disorder, and the connectivity properties of the Fock states. We analyze record large system sizes…

Disordered Systems and Neural Networks · Physics 2019-12-25 Diana Thongjaomayum , Alexei Andreanov , Thomas Engl , Sergej Flach
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