Issue 18, 2022

A numerical study on the interplay between the intra-particle and interparticle characteristics in bimagnetic soft/soft and hard/soft ultrasmall nanoparticle assemblies

Abstract

A mesoscopic scale approach and the Monte Carlo (MC) method have been employed to study the exchange bias behaviour of MnFe2O4 (soft)/maghemite (soft) and CoFe2O4 (hard)/maghemite (soft) nanoparticles (NPs) of size ∼ 3 nm in dense and diluted assemblies at low temperatures. The analysis of our MC results clearly shows that in the powder samples the contribution to the exchange bias field (Hex) and the coercivity (Hc) comes mainly from the intraparticle core/shell structure in the hard/soft sample and that the interplay between the internal characteristics and the interparticle interactions is more important in the soft/soft samples where the dipolar strength is enhanced. In the diluted frozen ferrofluid samples where interparticle exchange interactions are absent and the role of the dipolar interactions is not significant the exchange bias effects are reduced, and they come from the intra particle structure. The variation of Hex and Hc with the applied cooling field well reproduces the experimental findings and sheds light on the key mechanisms of the observed magnetic behaviour. Our results demonstrate the possibility to control the magnetic behaviour of nanostructures by using properly chosen core/shell bimagnetic nanoparticles.

Graphical abstract: A numerical study on the interplay between the intra-particle and interparticle characteristics in bimagnetic soft/soft and hard/soft ultrasmall nanoparticle assemblies

Article information

Article type
Paper
Submitted
27 Dec 2021
Accepted
19 Jul 2022
First published
04 Aug 2022
This article is Open Access
Creative Commons BY-NC license

Nanoscale Adv., 2022,4, 3777-3785

A numerical study on the interplay between the intra-particle and interparticle characteristics in bimagnetic soft/soft and hard/soft ultrasmall nanoparticle assemblies

F. G. D. Silva, M. Vasilakaki, R. Cabreira Gomes, R. Aquino, A. F. C. Campos, E. Dubois, R. Perzynski, J. Depeyrot and K. Trohidou, Nanoscale Adv., 2022, 4, 3777 DOI: 10.1039/D1NA00894C

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