2019
DOI: 10.1063/1.5121234
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Supraferromagnetic correlations in clusters of magnetic nanoflowers

Abstract: Magnetic nanoflowers are densely packed aggregates of superferromagnetically coupled iron oxide nanocrystallites, which excel during magnetic hyperthermia experiments. Here, we investigate the nature of the moment coupling within a powder of such nanoflowers using spin-resolved small-angle neutron scattering. Within the powder the nanoparticles are agglomerated to clusters, and we can show that the moments of neighboring nanoflowers tend to align parallel to each other. Thus, the whole system resembles a hiera… Show more

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Cited by 45 publications
(42 citation statements)
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(49 reference statements)
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“…[ 34 ] This can be related to a parallel alignment between neighboring particle moments within dense aggregates. [ 87 ] This behavior is in contrast to conventional interacting iron oxide nanoparticle systems (i.e., dense powder samples of single‐core particles), in which an antiparallel alignment of neighboring particle moments has been observed, [ 88,89 ] culminating in reduced susceptibility and decreased heating. [ 90 ]…”
Section: Iron Oxide Nanoparticles In Biomedicinementioning
confidence: 98%
“…[ 34 ] This can be related to a parallel alignment between neighboring particle moments within dense aggregates. [ 87 ] This behavior is in contrast to conventional interacting iron oxide nanoparticle systems (i.e., dense powder samples of single‐core particles), in which an antiparallel alignment of neighboring particle moments has been observed, [ 88,89 ] culminating in reduced susceptibility and decreased heating. [ 90 ]…”
Section: Iron Oxide Nanoparticles In Biomedicinementioning
confidence: 98%
“…Very recently, Bender et al [255] looked at so-called "magnetic nanoflowers", which are defined as densely packed aggregates of superferromagnetically coupled iron oxide nanocrystallites. Polarized SANS was used to investigate the moment coupling within a powder of such nanoflowers.…”
Section: Figure 15 Topmentioning
confidence: 99%
“…In most studies, data analysis is done by analyzing 1D sectors or radial averages, e.g., by fitting the data to a particular model in reciprocal space, [21,22] or by determining model independently the realspace 1D correlation functions. [23,24] But due to the anisotropic DOI: 10.1002/smsc.202000003…”
Section: Introductionmentioning
confidence: 99%
“…In most studies, data analysis is done by analyzing 1D sectors or radial averages, e.g., by fitting the data to a particular model in reciprocal space, [ 21,22 ] or by determining model independently the real‐space 1D correlation functions. [ 23,24 ] But due to the anisotropic nature of magnetic scattering, reducing the analysis to 1D essentially means a loss of information. Moreover, in many studies structural form‐factor models, adapted from nuclear SANS, are utilized, which fail to account for the existing spin inhomogeneity inside magnetic nanostructured systems.…”
Section: Introductionmentioning
confidence: 99%