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Characterization of ferromagnetic nanowires by partial first order reversal curves
Author(s) -
Liviu Clime,
Shiyong Zhao,
François Normandin,
Teodor Veres
Publication year - 2007
Publication title -
journal of applied physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.699
H-Index - 319
eISSN - 1089-7550
pISSN - 0021-8979
DOI - 10.1063/1.2778748
Subject(s) - nanowire , ferromagnetism , condensed matter physics , anisotropy , materials science , nanostructure , order (exchange) , physics , nanotechnology , quantum mechanics , finance , economics
A nonparametric approach to the identification of magnetic anisotropies in ferromagnetic nanostructures is applied in order to study the influence of the bath acidity on the induced magnetic anisotropies in electrodeposited ferromagnetic nanowires. By using partial first order reversal curves (pFORC), we find a two-peak probability density function whose topology changes with the acidity of the electrodeposition bath. Numerical micromagnetic simulations suggest that this particular distribution originates in two populations of nonidentical nanowires with different magnetocrystalline anisotropies. Bath acidity values influence the balance between these two populations rather than the intrinsic properties of individual nanowires.Peer reviewed: YesNRC publication: Ye

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