DC FieldValueLanguage
dc.contributor.authorAlbers, Hannes-
dc.contributor.authorKluth, Tobias-
dc.contributor.authorKnopp, Tobias-
dc.date.accessioned2021-10-01T10:30:05Z-
dc.date.available2021-10-01T10:30:05Z-
dc.date.issued2022-01-01-
dc.identifier.citationJournal of Magnetism and Magnetic Materials 541: 168508 - (2022-01-01)de_DE
dc.identifier.issn0304-8853de_DE
dc.identifier.urihttp://hdl.handle.net/11420/10418-
dc.description.abstractMagnetic nanoparticles and their magnetization dynamics play an important role in many applications. We focus on magnetization dynamics in large ensembles of single domain nanoparticles being characterized by either Brownian or Néel rotation mechanisms. Simulations of the respective behavior are obtained by solving advection–diffusion equations on the sphere, for which a unified computational framework is developed and investigated. This builds the basis for solving two parameter identification problems, which are formulated in the context of the chosen application, magnetic particle imaging. The functionality of the computational framework is illustrated by numerical results in the parameter identification problems either compared quantitatively or qualitatively to measured data.en
dc.language.isoende_DE
dc.relation.ispartofJournal of magnetism and magnetic materialsde_DE
dc.subjectAdvection–diffusion equationde_DE
dc.subjectBrown/Néel rotationde_DE
dc.subjectFokker–Planck equationde_DE
dc.subjectMagnetic nanoparticlesde_DE
dc.subjectMagnetic particle imagingde_DE
dc.subjectParameter identificationde_DE
dc.titleSimulating magnetization dynamics of large ensembles of single domain nanoparticles: Numerical study of Brown/Néel dynamics and parameter identification problems in magnetic particle imagingde_DE
dc.typeArticlede_DE
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.abstract.englishMagnetic nanoparticles and their magnetization dynamics play an important role in many applications. We focus on magnetization dynamics in large ensembles of single domain nanoparticles being characterized by either Brownian or Néel rotation mechanisms. Simulations of the respective behavior are obtained by solving advection–diffusion equations on the sphere, for which a unified computational framework is developed and investigated. This builds the basis for solving two parameter identification problems, which are formulated in the context of the chosen application, magnetic particle imaging. The functionality of the computational framework is illustrated by numerical results in the parameter identification problems either compared quantitatively or qualitatively to measured data.de_DE
tuhh.publisher.doi10.1016/j.jmmm.2021.168508-
tuhh.publication.instituteBiomedizinische Bildgebung E-5de_DE
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.volume541de_DE
dc.identifier.scopus2-s2.0-85115373510-
tuhh.container.articlenumber168508de_DE
item.creatorOrcidAlbers, Hannes-
item.creatorOrcidKluth, Tobias-
item.creatorOrcidKnopp, Tobias-
item.creatorGNDAlbers, Hannes-
item.creatorGNDKluth, Tobias-
item.creatorGNDKnopp, Tobias-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.mappedtypeArticle-
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.deptBiomedizinische Bildgebung E-5-
crisitem.author.orcid0000-0002-3835-4870-
crisitem.author.orcid0000-0003-4814-142X-
crisitem.author.orcid0000-0002-1589-8517-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
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