2010
DOI: 10.3762/bjnano.1.22
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Magnetic interactions between nanoparticles

Abstract: SummaryWe present a short overview of the influence of inter-particle interactions on the properties of magnetic nanoparticles. Strong magnetic dipole interactions between ferromagnetic or ferrimagnetic particles, that would be superparamagnetic if isolated, can result in a collective state of nanoparticles. This collective state has many similarities to spin-glasses. In samples of aggregated magnetic nanoparticles, exchange interactions are often important and this can also lead to a strong suppression of sup… Show more

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Cited by 325 publications
(268 citation statements)
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“…Additionally, in this pattern, one can see yet another component (about 25%). It can be connected with disordered nanoparticles surface [13] and/or with magnetic interaction between nanoparticles [14]. The component related to surface atoms increases with increasing temperature.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, in this pattern, one can see yet another component (about 25%). It can be connected with disordered nanoparticles surface [13] and/or with magnetic interaction between nanoparticles [14]. The component related to surface atoms increases with increasing temperature.…”
Section: Resultsmentioning
confidence: 99%
“…The last sextet that corresponds to the lowest magnetic fi eld exhibits strongly broadened lines. This can be associated with the surface disorder and magnetic interactions between the nanoparticles [19]. Although the diameter of the nanoparticles is equal to 14 nm, superparamagnetic relaxation is absent at RT.…”
Section: Resultsmentioning
confidence: 99%
“…The local magnetic field acting on the i-th nanoparticle was calculated using direct summation. In many papers, the attempt frequency is considered to be f 0 = 10 9 s −1 [32], or to fall within various ranges, such as (10 13 -10 9 ) s −1 [33], and to depend only on the material properties. We considered that the nanoparticle sizes and effective magnetic anisotropy constants had a lognormal distribution, the standard shape deviations were v d d m and v Keff K eff,m , i.e.…”
Section: Resultsmentioning
confidence: 99%