Superparamagnetism and Spin Glass Dynamics of Interacting Magnetic Nanoparticle Systems
Petra E. J\"onsson

TL;DR
This paper investigates the magnetic properties and dynamics of interacting magnetic nanoparticles, revealing how dipolar interactions influence superparamagnetism and demonstrating spin glass behavior in strongly interacting nanoparticle systems.
Contribution
It provides analytical expressions for susceptibility and specific heat in weakly coupled systems and experimentally characterizes spin glass phenomena in strongly interacting nanoparticle assemblies.
Findings
Dipolar interactions affect superparamagnetic blocking and relaxation rates.
Strongly interacting nanoparticles exhibit spin glass-like aging, memory, and rejuvenation.
Differences in dynamics are attributed to anisotropy and timescale variations.
Abstract
The physical properties of magnetic nanoparticles have been investigated with focus on the influence of dipolar interparticle interaction. For weakly coupled nanoparticles, thermodynamic perturbation theory is employed to derive analytical expressions for the linear equilibrium susceptibility, the zero-field specific heat and averages of the local dipolar fields. By introducing the averages of the dipolar fields in an expression for the relaxation rate of a single particle, a nontrivial dependence of the superparamagnetic blocking on the damping coefficient is evidenced. This damping dependence is interpreted in terms of the nonaxially symmetric potential created by the transverse component of the dipolar field. Strongly interacting nanoparticle systems are investigated experimentally in terms of spin glass behavior. Disorder and frustration arise in samples consisting of frozen…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTheoretical and Computational Physics · Characterization and Applications of Magnetic Nanoparticles · Complex Systems and Time Series Analysis
