Abstract
We illustrate how to extract correlations between magnetic moments in assemblies of nanoparticles from, e.g., electron holography data providing the combined knowledge of particle size distribution, inter-particle distances, and magnitude and orientation of each magnetic moment within a nanoparticle superstructure, We show, based on simulated data, how to build a radial/angular pair distribution function f(r,θ) encoding the spatial and angular difference between every pair of magnetic moments. A scatter-plot of f(r,θ) reveals the degree of structural and magnetic order present, and hence provides a measure of the strength and range of magnetic correlations.
Highlights
Assemblies of magnetic nanoparticles arranged over a superlattice represent a novel class of magnetic material where inter-particle exchange interactions may be negligible, and, dipolar inter-particle interactions tend to dominate
[1], we have studied dipolar interactions in self-assembled 15 nm cobalt particle structures using off-axis electron holography [2]
Our study revealed that dipolar interactions are sufficiently strong to support long-range ferromagnetic order in quasi-2D superstructures, even when the lattice of nanoparticles is highly disordered
Summary
Journal of Physics: Conference Series (Online), 521, 012009. Users may download and print one copy of any publication from the public portal for the purpose of private study or research.
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