Journal
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
Volume 580, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jmmm.2023.170899
Keywords
Magnetic nanoparticles; Magnetic anisotropy; Dipolar interactions; Monte Carlo methods
Ask authors/readers for more resources
Monte Carlo techniques are used to simulate the magnetic properties of chains of identical, spherical, single domain, ferromagnetic nanoparticles with cubic magnetocrystalline anisotropy. The simulations include hysteresis curves, zero field cooled (ZFC) and field cooled (FC) experiments for chains of varying lengths. Anisotropic dipole-dipole interactions between particles lead to differences in the system's response to magnetic fields parallel and perpendicular to the chain, resulting in wasp-waisted hysteresis loops. The study compares chains with different particle sizes to understand the quantitative scale of the phenomena discussed.
Monte Carlo techniques are used to simulate magnetic properties of chains of identical, spherical, single domain, ferromagnetic nanoparticles with cubic magnetocrystalline anisotropy. Nanoparticles are placed along a straight line with their positions and directions of anisotropy axes fixed in changing external magnetic field. Hysteresis curves as well as zero field cooled (ZFC) and field cooled (FC) experiments are simulated for chains of different lengths, i.e. differing in both: the number of particles and inter-particle distances. Strongly anisotropic dipole-dipole inter-particle interactions lead to significant differences in system's response to the external magnetic fields oriented parallel and perpendicular to the chain, and further, to the occurrence of wasp-waisted hysteresis loops. We compare results for chains that differ in the size of particles they are built of. To get the idea about the quantitative scale of the discussed phenomena we assume values of magnetocrystalline anisotropy constants for fcc-Co.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available