Energy barrier distributions in magnetic systems from the Tln(t/τ0) scaling

Iglesias, Òscar; Badía, F.; Labarta, A.; Balcells, Ll.

doi:10.1007/s002570050108

Cited by 34 publications

(47 citation statements)

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“…On the other hand, as previously noted in Ref. 21, S is a magnitude proportional to the energy barrier distribution and therefore it has a direct physical meaning.…”

Section: Magnetic Viscosity and Energy Barrier Distributionmentioning

confidence: 85%

Normalization factors for magnetic relaxation of small-particle systems in a nonzero magnetic field

1997

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We critically discuss relaxation experiments in magnetic systems that can be characterized in terms of an energy barrier distribution, showing that proper normalization of the relaxation data is needed whenever curves corresponding to different temperatures are to be compared. We show how these normalization factors can be obtained from experimental data by using the Tln(t/ 0 ) scaling method without making any assumptions about the nature of the energy barrier distribution. The validity of the procedure is tested using a ferrofluid of Fe 3 O 4 particles. ͓S0163-1829͑97͒04113-1͔

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“…On the other hand, as previously noted in Ref. 21, S is a magnitude proportional to the energy barrier distribution and therefore it has a direct physical meaning.…”

Section: Magnetic Viscosity and Energy Barrier Distributionmentioning

confidence: 85%

Normalization factors for magnetic relaxation of small-particle systems in a nonzero magnetic field

1997

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“…In both cases, and at each temperature, there is a time range, for which overlapping of the magnetization curves into a unique master curve is observed. 14,23,24,28 Below the inflection point of the relaxation curves, this overlapping involves the upper curves, while above the inflection point, the overlap occurs for the lower curves, as is the case in noninteracting systems ͑see Figs. 2, 3, and 4 of Ref.…”

Section: B T Ln(t/ 0 ) Scaling and Effective Distribution Of Energy mentioning

confidence: 99%

“…From the first one, based on the so-called barrier plot and proposed by Barbara and Gunther, 22 the volume and field dependence of the energy barrier distribution can be obtained. The second approximation has been first proposed by Omari et al 23 to study spin glasses and more recently has been used by Iglesias et al 24 to study small particle systems. This approximation has been revealed to be a useful method to obtain the energy barrier distribution from the scaled magnetization curves as a function of the T ln͑t/ 0 ͒ scaling variable.…”

Section: Introductionmentioning

confidence: 99%

Magnetic relaxation of a one-dimensional model for small particle systems with dipolar interaction: Monte Carlo simulation

Ribas¹,

Labarta²

1996

Journal of Applied Physics

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Monte Carlo simulations have been performed to study the magnetic relaxation of a small particle system with dipolar interaction. The simulated system is a simplified version of the real situation in a small particle system with a random distribution of anisotropy axes and long range dipolar interaction among the particles. This model consists on a one-dimensional Ising model with dipolar interaction and a distribution of uniaxial anisotropy strengths. The anisotropy axes were considered perpendicular to the line connecting the spins. These choices allow us to focus on the influence of the demagnetizing part of the dipolar interaction on the magnetic relaxation by taking into account the main features of the system. The Tln͑t/ 0 ͒ scaling variable is used to determine the effective distribution of energy barriers for the different interaction strengths showing an enhancement in the number of the lowest energy barriers as the interaction strength is increased. Moreover, the histograms of the energy barrier distribution as a function of the time are analyzed and this study leads to a deeper knowledge of the microscopic processes involved in the magnetic relaxation.

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“…This procedure was successful in determination of magnetic unit sizes in different systems, from magnetic nanoparticles [14,15,16], to magnetic clusters in amorphous ribbon [17] and magnetic nano-regions in multiferroics. [18] Therefore, we believe this model is valid in case of presented amorphous nanoparticles.…”

Section: Magnetic Anisotropy and Size Distributionmentioning

confidence: 99%

“…Parameter S tells how many particles relax, while measuring at a specific temperature. [15] Therefore, after transforming the temperature domain of S(T) to diameter domain in S(D) using the same procedure as above, the distribution of particles over diameter is obtained and also shown in figure 6.…”

Section: Magnetic Anisotropy and Size Distributionmentioning

confidence: 99%

Size distribution of FeNiB nanoparticles

Lackner

Pajić

Reissner

et al. 2014

EPJ Web of Conferences

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Abstract. Two samples of amorphous nanoparticles FeNiB, one of them with SiO 2 sheath around the core and one without, were investigated by transmission electron microscopy and magnetic measurements. The coating gives mean particle diameters of 4.3 nm compared to 7.2 nm for the uncoated particles. Magnetic measurements prove superparamagnetic behaviour above 160 K (350 K) for the coated (uncoated) sample. With use of effective anisotropy constant K eff -determined from hysteresis loops -size distributions are determined both from ZFC curves, as well as from relaxation measurements. Both are in good agreement and are very similar for both samples. Comparison with the size distribution determined from TEM pictures shows that magnetic clusters consist of only few physical particles.

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Energy barrier distributions in magnetic systems from the Tln(t/τ0) scaling

Cited by 34 publications

References 1 publication

Normalization factors for magnetic relaxation of small-particle systems in a nonzero magnetic field

Normalization factors for magnetic relaxation of small-particle systems in a nonzero magnetic field

Magnetic relaxation of a one-dimensional model for small particle systems with dipolar interaction: Monte Carlo simulation

Size distribution of FeNiB nanoparticles

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