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

Abstract

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.

Authors:
ORCiD logo [1];  [1];  [1];  [1];  [1];  [2];  [3];  [1];  [1]
+ Show Author Affiliations
  1. Brigham Young Univ., Provo, UT (United States). Dept. of Physics and Astronomy
  2. Brigham Young Univ., Provo, UT (United States). Dept. of Chemistry and Biochemistry
  3. SLAC National Accelerator Lab., Menlo Park, CA (United States). Stanford Institute for Materials and Energy Science (SIMES)
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1528776
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Accepted Manuscript
Journal Name:
AIP Advances
Additional Journal Information:
Journal Volume: 9; Journal Issue: 3; Journal ID: ISSN 2158-3226
Publisher:
American Institute of Physics (AIP)
Country of Publication:
United States
Language:
English
Subject:
77 NANOSCIENCE AND NANOTECHNOLOGY

Citation Formats

Rackham, Johnathon, Newbold, Brittni, Kotter, Steve, Smith, Dallin, Griner, Dalton, Harrison, Roger, Reid, Alex H., Transtrum, Mark, and Chesnel, Karine. Modeling inter-particle magnetic correlations in magnetite nanoparticle assemblies using x-ray magnetic scattering data. United States: N. p., 2019. Web. doi:10.1063/1.5080155.
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Rackham, Johnathon, Newbold, Brittni, Kotter, Steve, Smith, Dallin, Griner, Dalton, Harrison, Roger, Reid, Alex H., Transtrum, Mark, & Chesnel, Karine. Modeling inter-particle magnetic correlations in magnetite nanoparticle assemblies using x-ray magnetic scattering data. United States. https://doi.org/10.1063/1.5080155
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Rackham, Johnathon, Newbold, Brittni, Kotter, Steve, Smith, Dallin, Griner, Dalton, Harrison, Roger, Reid, Alex H., Transtrum, Mark, and Chesnel, Karine. Tue . "Modeling inter-particle magnetic correlations in magnetite nanoparticle assemblies using x-ray magnetic scattering data". United States. https://doi.org/10.1063/1.5080155. https://www.osti.gov/servlets/purl/1528776.
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@article{osti_1528776,
title = {Modeling inter-particle magnetic correlations in magnetite nanoparticle assemblies using x-ray magnetic scattering data},
author = {Rackham, Johnathon and Newbold, Brittni and Kotter, Steve and Smith, Dallin and Griner, Dalton and Harrison, Roger and Reid, Alex H. and Transtrum, Mark and Chesnel, Karine},
abstractNote = {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.},
doi = {10.1063/1.5080155},
journal = {AIP Advances},
number = 3,
volume = 9,
place = {United States},
year = {2019},
month = {3}
}
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https://doi.org/10.1063/1.5080155
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