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Quantitative decoding of interactions in tunable nanomagnet arrays using first order reversal curves.


ABSTRACT: To develop a full understanding of interactions in nanomagnet arrays is a persistent challenge, critically impacting their technological acceptance. This paper reports the experimental, numerical and analytical investigation of interactions in arrays of Co nanoellipses using the first-order reversal curve (FORC) technique. A mean-field analysis has revealed the physical mechanisms giving rise to all of the observed features: a shift of the non-interacting FORC-ridge at the low-HC end off the local coercivity HC axis; a stretch of the FORC-ridge at the high-HC end without shifting it off the HC axis; and a formation of a tilted edge connected to the ridge at the low-HC end. Changing from flat to Gaussian coercivity distribution produces a negative feature, bends the ridge, and broadens the edge. Finally, nearest neighbor interactions segment the FORC-ridge. These results demonstrate that the FORC approach provides a comprehensive framework to qualitatively and quantitatively decode interactions in nanomagnet arrays.

SUBMITTER: Gilbert DA 

PROVIDER: S-EPMC3935205 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature

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Quantitative decoding of interactions in tunable nanomagnet arrays using first order reversal curves.

Gilbert Dustin A DA   Zimanyi Gergely T GT   Dumas Randy K RK   Winklhofer Michael M   Gomez Alicia A   Eibagi Nasim N   Vicent J L JL   Liu Kai K  

Scientific reports 20140226


To develop a full understanding of interactions in nanomagnet arrays is a persistent challenge, critically impacting their technological acceptance. This paper reports the experimental, numerical and analytical investigation of interactions in arrays of Co nanoellipses using the first-order reversal curve (FORC) technique. A mean-field analysis has revealed the physical mechanisms giving rise to all of the observed features: a shift of the non-interacting FORC-ridge at the low-HC end off the loc  ...[more]

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