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Author Martin, É.; Gossuin, Y.; Bals, S.; Kavak, S.; Vuong, Q.L. pdf  url
doi  openurl
  Title Monte Carlo simulations of the magnetic behaviour of iron oxide nanoparticle ensembles: taking size dispersion, particle anisotropy, and dipolar interactions into account Type A1 Journal article
  Year (down) 2022 Publication European physical journal : B : condensed matter and complex systems Abbreviated Journal Eur Phys J B  
  Volume 95 Issue 12 Pages 201  
  Keywords A1 Journal article; Electron microscopy for materials research (EMAT)  
  Abstract In this work, the magnetic properties of superparamagnetic iron oxide nanoparticles (SPIONs) submitted to an external magnetic field are studied using a Metropolis algorithm. The influence on the M(B) curves of the size distribution of the nanoparticles, of uniaxial anisotropy, and of dipolar interaction between the cores are examined, as well as the influence of drying the samples under a zero or non-zero magnetic field. It is shown that the anisotropy impacts the shape of the magnetization curves, which then deviate from a pure Langevin behaviour, whereas the dipolar interaction has no influence on the curves at 300 K for small particles (with a radius of 3 nm). The fitting of the magnetization curves of particles with magnetic anisotropy to a Langevin model (including a size distribution of the particles) can then lead to erroneous values of the distribution parameters. The simulation results are qualitatively compared to experimental results obtained for iron oxide nanoparticles (with a 3.21 nm median radius).  
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  Language Wos 000901937400001 Publication Date 2022-12-21  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1434-6028 ISBN Additional Links UA library record; WoS full record  
  Impact Factor 1.6 Times cited Open Access OpenAccess  
  Notes The authors would like to thank Sophie Laurent from the University of Mons for the access to the Dynamic Light Scattering equipment. Computational resources have been provided by the Consortium des Equipements de Calcul Intensif (C ´ ECI), funded by the ´ Fonds de la Recherche Scientifique de Belgique (F.R.S.- FNRS) under Grant No. 2.5020.11 and by the Walloon Region. Approved Most recent IF: 1.6  
  Call Number EMAT @ emat @c:irua:192706 Serial 7232  
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