Crossover From Individual to Collective Magnetism in Dense Nanoparticle Systems: Local Anisotropy Versus Dipolar Interactions
Abstract
Dense systems of magnetic nanoparticles may exhibit dipolar collective behavior. However, two fundamental questions remain unsolved: i) whether the transition temperature may be affected by the particle anisotropy or it is essentially determined by the intensity of the interparticle dipolar interactions, and ii) what is the minimum ratio of dipole-dipole interaction () to nanoparticle anisotropy (, anisotropy volume) energies necessary to crossover from individual to collective behavior. A series of particle assemblies with similarly intense dipolar interactions but widely varying anisotropy is studied. The is tuned through different degrees of cobalt-doping in maghemite nanoparticles, resulting in a variation of nearly an order of magnitude. All the bare particle compacts display collective behavior, except the one made with the highest anisotropy particles, which presents ``marginal'' features. Thus, a threshold of to suppress collective behavior is derived, in good agreement with Monte Carlo simulations. This translates into a crossover value of for the easily accessible parameter (interacting)(non-interacting) (ratio of the peak temperatures of the zero-field-cooled magnetization curves of interacting and dilute particle systems), which is successfully tested against the literature to predict the individual-likecollective behavior of any given interacting particle assembly comprising relatively uniform particles.
Keywords
Cite
@article{arxiv.2402.06583,
title = {Crossover From Individual to Collective Magnetism in Dense Nanoparticle Systems: Local Anisotropy Versus Dipolar Interactions},
author = {Elena H. Sánchez and Marianna Vasilakaki and Su Seong Lee and Peter S. Normile and Mikael S. Andersson and Roland Mathieu and Alberto López-Ortega and Benoit P. Pichon and Davide Peddis and Chris Binns and Per Nordblad and Kalliopi Trohidou and Josep Nogués and José A. De Toro},
journal= {arXiv preprint arXiv:2402.06583},
year = {2024}
}
Comments
24 pages (proof version), 6 figures