AIP Advances (Mar 2019)

Modeling inter-particle magnetic correlations in magnetite nanoparticle assemblies using x-ray magnetic scattering data

  • Johnathon Rackham,
  • Brittni Newbold,
  • Steve Kotter,
  • Dallin Smith,
  • Dalton Griner,
  • Roger Harrison,
  • Alex H. Reid,
  • Mark Transtrum,
  • Karine Chesnel

DOI
https://doi.org/10.1063/1.5080155
Journal volume & issue
Vol. 9, no. 3
pp. 035033 – 035033-7

Abstract

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Magnetic nanoparticles are increasingly used in nanotechnologies and biomedical applications, such as drug targeting, MRI, bio-separation. Magnetite (Fe3O4) nanoparticles stand to be effective in these roles due to the non-toxic nature of magnetite and its ease of manufacture. To be more effective in these applications, a greater understanding of the magnetic behavior of a collection of magnetite nanoparticles is needed. This research seeks to discover the local magnetic ordering of ensembles of magnetite nanoparticles occurring under various external fields. To complete this study, we use x-ray resonant magnetic scattering (XRMS). Here we discuss the modeling of the magnetic scattering data using a one-dimensional chain of nanoparticles with a mix of ferromagnetic, anti-ferromagnetic, and random orders. By fitting the model to the experimental data, we extracted information about the magnetic correlations in the nanoparticle assembly.