Mnpdynamics: A computational toolbox for simulating magnetic moment behavior of ensembles of nanoparticles

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Mnpdynamics: A computational toolbox for simulating magnetic moment behavior of ensembles of nanoparticles. / Albers, H.; Kluth, T.; Knopp, T.

in: Int J Magn Part Imag, Jahrgang 6, Nr. 2, 2009020, 2020.

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Bibtex

@article{ae989d38beea45f89b5e8081efc6249d,
title = "Mnpdynamics: A computational toolbox for simulating magnetic moment behavior of ensembles of nanoparticles",
abstract = "In the context of system function modeling for magnetic particle imaging, computing fast and accurate approxima-tions to the time evolution of magnetic nanoparticles{\textquoteright} (MNPs) mean magnetic moment is a problem of interest. In a software toolbox we comprise algorithms and methods that can simulate Brownian and N{\'e}el relaxation of MNPs{\textquoteright} magnetic moments that can be used to obtain more accurate model-based system matrices than those relying on the so-called equilibrium model. We present and discuss results obtained with these implementations which are made available in the software toolbox under github.com/MagneticParticleImaging/MNPDynamics.jl to inspire further research in these directions.",
author = "H. Albers and T. Kluth and T. Knopp",
note = "Publisher Copyright: {\textcopyright} 2020 Albers et al.; licensee Infinite Science Publishing GmbH.",
year = "2020",
doi = "10.18416/IJMPI.2020.2009020",
language = "English",
volume = "6",
journal = "Int J Magn Part Imag",
issn = "2365-9033",
publisher = "Infinite Science Publishing",
number = "2",

}

RIS

TY - JOUR

T1 - Mnpdynamics: A computational toolbox for simulating magnetic moment behavior of ensembles of nanoparticles

AU - Albers, H.

AU - Kluth, T.

AU - Knopp, T.

N1 - Publisher Copyright: © 2020 Albers et al.; licensee Infinite Science Publishing GmbH.

PY - 2020

Y1 - 2020

N2 - In the context of system function modeling for magnetic particle imaging, computing fast and accurate approxima-tions to the time evolution of magnetic nanoparticles’ (MNPs) mean magnetic moment is a problem of interest. In a software toolbox we comprise algorithms and methods that can simulate Brownian and Néel relaxation of MNPs’ magnetic moments that can be used to obtain more accurate model-based system matrices than those relying on the so-called equilibrium model. We present and discuss results obtained with these implementations which are made available in the software toolbox under github.com/MagneticParticleImaging/MNPDynamics.jl to inspire further research in these directions.

AB - In the context of system function modeling for magnetic particle imaging, computing fast and accurate approxima-tions to the time evolution of magnetic nanoparticles’ (MNPs) mean magnetic moment is a problem of interest. In a software toolbox we comprise algorithms and methods that can simulate Brownian and Néel relaxation of MNPs’ magnetic moments that can be used to obtain more accurate model-based system matrices than those relying on the so-called equilibrium model. We present and discuss results obtained with these implementations which are made available in the software toolbox under github.com/MagneticParticleImaging/MNPDynamics.jl to inspire further research in these directions.

U2 - 10.18416/IJMPI.2020.2009020

DO - 10.18416/IJMPI.2020.2009020

M3 - Other (editorial matter etc.)

AN - SCOPUS:85090289314

VL - 6

JO - Int J Magn Part Imag

JF - Int J Magn Part Imag

SN - 2365-9033

IS - 2

M1 - 2009020

ER -