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Attempt frequency of magnetization in nanomagnets with thin-film geometry

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dc.contributor.authorSuh, Hong-Ju-
dc.contributor.authorHeo, Changehoon-
dc.contributor.authorYou, Chun-Yeol-
dc.contributor.authorKim, Woojin-
dc.contributor.authorLee, Taek-Dong-
dc.contributor.authorLee, Kyung-Jin-
dc.date.accessioned2021-09-09T05:46:58Z-
dc.date.available2021-09-09T05:46:58Z-
dc.date.issued2008-08-
dc.identifier.issn2469-9950-
dc.identifier.issn2469-9969-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/122972-
dc.description.abstractSolving the stochastic Landau-Lifshitz-Gilbert equation numerically, we investigate the effect of the potential landscape on the attempt frequency of magnetization in nanomagnets with the thin-film geometry. Numerical estimates of the attempt frequency are analyzed in comparison with theoretical predictions from the Fokker-Planck equation for the Neel-Brown model. It is found that for a nanomagnet with the thin-film geometry, theoretically predicted values for the universal case are in excellent agreement with numerical estimates.-
dc.language영어-
dc.language.isoENG-
dc.publisherAMER PHYSICAL SOC-
dc.titleAttempt frequency of magnetization in nanomagnets with thin-film geometry-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1103/PhysRevB.78.064430-
dc.identifier.scopusid2-s2.0-50949128717-
dc.identifier.wosid000259264900079-
dc.identifier.bibliographicCitationPHYSICAL REVIEW B, v.78, no.6-
dc.citation.titlePHYSICAL REVIEW B-
dc.citation.volume78-
dc.citation.number6-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.subject.keywordPlusSPIN-TRANSFER-TORQUE-
dc.subject.keywordPlusRELAXATION-TIME-
dc.subject.keywordPlusDEPENDENCE-
dc.subject.keywordPlusFIELD-
dc.subject.keywordPlusFLUCTUATIONS-
dc.subject.keywordPlusDRIVEN-
dc.subject.keywordPlusNOISE-
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