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Computer simulations of dynamic response of ferrofluids on an alternating magnetic field with high amplitude

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TLDR
Yoshida et al. as mentioned in this paper studied the dependence of the computational error arising in the computer simulation of the dynamic susceptibility on the input parameters of the numerical algorithm: the length of the time step, the total number of computer simulation periods, and averaging period.
Abstract
The response of ferrofluids to a high-amplitude AC magnetic field is important for several applications including magnetic hyperthermia and biodetection. In computer simulations of the dynamic susceptibility of a ferrofluid outside the linear response region, there are several problems associated with the fact that an increase in the frequency of the AC field leads to the appearance of additional computational errors, which can even lead to unphysical results. In this article, we study the dependence of the computational error arising in the computer simulation of the dynamic susceptibility on the input parameters of the numerical algorithm: the length of the time step, the total number of computer simulation periods, and averaging period. Computer simulation is carried out using the Langevin dynamics method and takes Brownian rotational relaxation of magnetic particles and interparticle interactions into account. The reference theory [Yoshida T.; Enpuku K. Jap. J. Ap. Phys. 2009] is used to estimate computational error. As a result, we give practical recommendations for choosing the optimal input parameters of the numerical algorithm, which make it possible to obtain reliable results of the dynamic susceptibility of a ferrofluid in a high-amplitude AC field in a wide frequency range.

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Influence of field amplitude and dipolar interactions on the dynamic response of immobilized magnetic nanoparticles: Perpendicular mutual alignment of an alternating magnetic field and the easy axes.

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Electrospun Magnetic Nanofiber Mats for Magnetic Hyperthermia in Cancer Treatment Applications—Technology, Mechanism, and Materials

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References
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Journal ArticleDOI

Reversible multiple time scale molecular dynamics

TL;DR: It is shown how the new RESPA methods are related to predictor–corrector integrators and how these methods can be used to accelerate the integration of the equations of motion of systems with Nose thermostats.
Journal Article

Thermal Fluctuations of a Single-Domain Particle

Brown
- 01 Jan 1963 - 
Journal ArticleDOI

Thermal Fluctuations of a Single-Domain Particle

TL;DR: In this article, the Langevin equation of the Fokker-planck partial differential equation is replaced by a random-field term, which can be avoided by using the fluctuation-dissipation theorem.
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Tomographic imaging using the nonlinear response of magnetic particles

TL;DR: A method for obtaining a high-resolution image of magnetic tracers that takes advantage of the nonlinear magnetization curve of small magnetic particles and has the potential to be developed into an imaging method characterized by both high spatial resolution as well as high sensitivity.
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Progress in applications of magnetic nanoparticles in biomedicine

TL;DR: A progress report on the biomedical applications of magnetic nanoparticles since 2003 is presented in this paper, with a focus on magnetic actuation for in vitro non-viral transfection and tissue engineering.
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