Modeling inter-particle magnetic correlations in magnetite nanoparticle assemblies using x-ray magnetic scattering data
- Brigham Young Univ., Provo, UT (United States). Dept. of Physics and Astronomy
- Brigham Young Univ., Provo, UT (United States). Dept. of Chemistry and Biochemistry
- SLAC National Accelerator Lab., Menlo Park, CA (United States). Stanford Institute for Materials and Energy Science (SIMES)
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.
- Research Organization:
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC02-76SF00515
- OSTI ID:
- 1528776
- Journal Information:
- AIP Advances, Vol. 9, Issue 3; ISSN 2158-3226
- Publisher:
- American Institute of Physics (AIP)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
Size-dependent spatial magnetization profile of manganese-zinc ferrite M n 0.2 Z n 0.2 F e 2.6 O 4 nanoparticles
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journal | October 2019 |
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