2015
DOI: 10.1063/1.4930972
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Discrete breathers in an one-dimensional array of magnetic dots

Abstract: The dynamics of the one-dimensional array of magnetic particles (dots) with the easy-plane anisotropy is investigated. The particles interact with each other via the magnetic dipole interaction and the whole system is governed by the set of Landau-Lifshitz equations. The spatially localized and time-periodic solutions known as discrete breathers (or intrinsic localized modes) are identified. These solutions have no analogue in the continuum limit and consist of the core where the magnetization vectors precess … Show more

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Cited by 4 publications
(2 citation statements)
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“…A similar situation was dealt in Ref. 29 where magnetic dots with a strong easy-plane anisotropy are coupled by weak magnetic dipole interaction. In contrast, our treatment is targeted at search of DB solutions for the case when exchange coupling between the nearest moments is much larger than on-site magnetic anisotropy.…”
Section: Introductionmentioning
confidence: 73%
See 1 more Smart Citation
“…A similar situation was dealt in Ref. 29 where magnetic dots with a strong easy-plane anisotropy are coupled by weak magnetic dipole interaction. In contrast, our treatment is targeted at search of DB solutions for the case when exchange coupling between the nearest moments is much larger than on-site magnetic anisotropy.…”
Section: Introductionmentioning
confidence: 73%
“…Recently, formation of discrete breathers has been analyzed for weak ferromagnetic chains where the presence of the Dzyaloshinskii-Moriya (DM) interaction leads to a small canting between the interacting moments 27,28 . The DB solutions have been examined in dynamics of the 1D array of magnetic particles (dots) with the easy-plane anisotropy and interparticle magnetic dipole interaction 29 . Most of realistic discrete systems may be reformulated for appropriate continuous media that often provide an adequate description of nonlinear properties and, in some cases, analytical expressions in closed form may be derived 1,[30][31][32][33] .…”
Section: Introductionmentioning
confidence: 99%