Monte Carlo simulation of magnetic multi-core nanoparticles

Schaller, Vincent; Wahnström, Göran; Sanz‐Velasco, Anke; Enoksson, Peter; Johansson, Christer

doi:10.1016/j.jmmm.2009.02.047

Cited by 62 publications

(56 citation statements)

References 12 publications

(16 reference statements)

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“…The ODE-system (5) together with this initial magnetization state is solved by a Runge Kutta approach of order 4. The summation in (3) is restricted to particles of a distance smaller than five times the average particle radius, coinciding with the findings by Schaller et al [12].…”

Section: Introductionsupporting

confidence: 87%

“…Monte Carlo methods are commonly used [9][10][11] to analyze the equilibrium state of the magnetization distribution. Schaller et al [12] calculated the static solution of the magnetization of beads in an external magnetic field taking the dipolar interactions into account. They found deviations from the classical description predicting a magnetization behaviour described by the Langevin function.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic simulations of the dipolar driven demagnetization process of magnetic multi-core nanoparticles

Weddemann

Auge

Kappe

et al. 2010

Journal of Magnetism and Magnetic Materials

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Section: Introductionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Dynamic simulations of the dipolar driven demagnetization process of magnetic multi-core nanoparticles

Weddemann

Auge

Kappe

et al. 2010

Journal of Magnetism and Magnetic Materials

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“…For MNP nanoclusters with high packing densities, interparticle interactions can have a strong influence on the magnetic dynamics of each MNP. [15][16][17][18][19][20] Since the MNPs for hyperthermia applications are coated with surfactants, the distance between MNP surfaces exceeds the range of exchange coupling. Herein, exchange coupling is neglected and long-range dipolar interaction is taken into consideration.…”

Section: Sarmentioning

confidence: 99%

Magnetic hyperthermia performance of magnetite nanoparticle assemblies under different driving fields

Wang

2017

AIP Advances

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The heating performance of magnetic nanoparticles (MNPs) under an alternating magnetic field (AMF) is dependent on several factors. Optimizing these factors improves the heating efficiency for cancer therapy and meanwhile lowers the MNP treatment dosage. AMF is one of the most easily controllable variables to enhance the efficiency of heat generation. This paper investigated the optimal magnetic field strength and frequency for an assembly of magnetite nanoparticles. For hyperthermia treatment in clinical applications, monodispersed NPs are forming nanoclusters in target regions where a strong magnetically interactive environment is anticipated, which leads to a completely different situation than MNPs in ferrofluids. Herein, the energy barrier model is revisited and Néel relaxation time is tailored for high MNP packing densities. AMF strength and frequency are customized for different magnetite NPs to achieve the highest power generation and the best hyperthermia performance.

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“…The parameters that determine whether we have Néel or Brownian relaxation at a given temperature are the size distribution of the nanocrystals, the magnetic material properties (through the magnetic anisotropy), the viscous properties of the liquid and magnetic interactions between the nanocrystals (for instance the interactions between the nanocrystals in a magnetic multi-core particle system). In order to study the magnetic interaction effects in multi-core particles Monte Carlo simulations can be used [3,4]. In these simulations the effects of magnetic interactions between the nanocrystals in the multi-core structure, the nanocrystal size distribution and the magnetic anisotropy can be studied independently from each other.…”

Section: Introductionmentioning

confidence: 99%