Size and polydispersity effect on the magnetization of densely packed magnetic nanoparticles
Vincent Russier, Caroline de Montferrand, Yoann Lalatonne, Laurence, Motte

TL;DR
This study uses Monte Carlo simulations to explore how particle size and polydispersity influence the magnetization of densely packed magnetic nanoparticle assemblies, with a focus on iron oxide nanoparticles.
Contribution
It provides a detailed analysis of size and polydispersity effects on magnetization, supported by comparison with experimental data on iron oxide nanoparticles.
Findings
Particle size significantly affects magnetization curves.
Polydispersity influences the magnetic response of nanoparticle assemblies.
Simulation results align with experimental observations.
Abstract
The magnetic properties of densely packed magnetic nanoparticles (MNP) assemblies are investigated from Monte Carlo simulations. The case of iron oxide nanoparticles is considered as a typical example of MNP. The main focus is put on particle size and size polydispersity influences on the magnetization curve. The particles are modeled as uniformly magnetized spheres isolated one from each other by a non magnetic layer representing the organic coating. A comparison with recent experimental results on FeO powder samples differing by their size is given.
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Taxonomy
TopicsCharacterization and Applications of Magnetic Nanoparticles
