Study about the nanoparticle agglomeration in a magnetic nanofluid by the Langevin dynamics simulation model using an effective Verlet-type algorithm

Osaci, Mihaela; Cacciola, Matteo

doi:10.1007/s10404-017-1856-0

Cited by 12 publications

(17 citation statements)

References 48 publications

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“…To simulate the self-organization of the colloidal magnetic nanoparticles we used the Langevin dynamics stochastic method, based on an effective Verlet-type algorithm [19].…”

Section: Resultsmentioning

confidence: 99%

“…The local magnetic field acting on a nanoparticle is the vectorial sum of the applied external magnetic field ( ) and the internal dipolar magnetic field ( ) determined by the magnetic dipolar interactions among the nanoparticles [21], (4) Method for simulating the self-organization of colloidal magnetic nanoparticles This method starts by obtaining the numerical solutions of the Langevin equations for the translational and rotational motions of a nanoparticle i in the fluid environment [19] given as…”

Section: Resultsmentioning

confidence: 99%

“…For the numerical simulation, two widely known models have been used [ 19 – 21 ]. We started with a system of single-domain magnetic nanoparticles, consisting of spherical iron-oxide nanoparticles with uniaxial magnetic anisotropy, which have a lognormal distribution of the grain size.…”

Section: Resultsmentioning

confidence: 99%

“…This method starts by obtaining the numerical solutions of the Langevin equations for the translational and rotational motions of a nanoparticle i in the fluid environment [ 19 ] given as…”

Section: Resultsmentioning

confidence: 99%

“…θ ip are the solutions of the following transcendental equation: (19) In Equation 9, θ i is the angle between the easy magnetisation and anisotropy axes of the i-th nanoparticle; therefore: (20) In Equation 18 and Equation 20, is the effective magnetic anisotropy constant of the i-th nanoparticle. If h i < h ic (Ψ i ) < 1 [21,22], then…”

Section: The Coffey Methods In An Oblique Magnetic Field Adapted To Thmentioning

confidence: 99%

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Influence of the magnetic nanoparticle coating on the magnetic relaxation time

Osaci¹,

Cacciola²

2020

Beilstein J. Nanotechnol.

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Colloidal systems consisting of monodomain superparamagnetic nanoparticles have been used in biomedical applications, such as the hyperthermia treatment for cancer. In this type of colloid, called a nanofluid, the nanoparticles tend to agglomeration. It has been shown experimentally that the nanoparticle coating plays an important role in the nanoparticle dispersion stability and biocompatibility. However, theoretical studies in this field are lacking. In addition, the ways in which the nanoparticle coating influences the magnetic properties of the nanoparticles are not yet understood. In order to fill in this gap, this study presents a numerical simulation model that elucidates how the nanoparticle coating affects the nanoparticle agglomeration tendency as well as the effective magnetic relaxation time of the system. To simulate the self-organization of the colloidal nanoparticles, a stochastic Langevin dynamics method was applied based on the effective Verlet-type algorithm. The Néel magnetic relaxation time was obtained via the Coffey method in an oblique magnetic field, adapted to the local magnetic field on a nanoparticle.

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“…To simulate the self-organization of the colloidal magnetic nanoparticles we used the Langevin dynamics stochastic method, based on an effective Verlet-type algorithm [19].…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…This method starts by obtaining the numerical solutions of the Langevin equations for the translational and rotational motions of a nanoparticle i in the fluid environment [ 19 ] given as…”

Section: Resultsmentioning

confidence: 99%