{"id":98,"date":"2010-12-01T17:54:04","date_gmt":"2010-12-01T16:54:04","guid":{"rendered":"http:\/\/www.icmm.csic.es\/magsim\/?page_id=98"},"modified":"2010-12-01T17:54:04","modified_gmt":"2010-12-01T16:54:04","slug":"modelling-of-magnetic-nanoparticles","status":"publish","type":"page","link":"https:\/\/wp.icmm.csic.es\/magsim\/research-lines\/modelling-of-magnetic-nanoparticles\/","title":{"rendered":"-Modeling of magnetic nanoparticles."},"content":{"rendered":"

Modeling of magnetic nanoparticles:<\/span><\/h3>\n

We work on the modelling of magnetic nanoparticles in two approaches:<\/span><\/p>\n

(a) Individual nanoparticles as multispin systems. Our recent results include modelling of magnetic nanoparticles of different shapes and\u00a0internal structures with Neel surface anisotropy [1,2].\u00a0 Our approach is based on the Lagrange multiplier technique [1,2]\u00a0and recently developed constrained Monte Carlo to include temperature fluctuations [3].<\/span><\/p>\n

We also work on the modelling of core-shell nanoparticles, including the exchange-bias phenomenon. Recently, we have suggested\u00a0the use of these nanoparticles\u00a0for \u00abbeating the superparamagnetic limit\u00b7 in magnetic recording within the heat-assisted scheme [4].\u00a0<\/span><\/p>\n

(b) Ensemble of nanoparticles. We work on the understanding of magnetostatic and exchange interactions in an\u00a0e of magnetic nanoparticles. Our approach involves energy barrier calculations in a multi-dimensional space and the kinetic Monte Carlo dynamics [5].\u00a0 In this line we closely collaborate with experimental groups working on biological applications of magnetic nanoparticles such as NMR [6]<\/span><\/p>\n

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Blocking temperature (normalized to the non-interacting ensemble case) as a function of surface packing densities for maghemite nanoparticles embedded on a capsule with D=200 nm. <\/p><\/div>\n

\u00a0References:<\/p>\n

[1]\u00a0R.Yanes, \u00a0O.Chubykalo-Fesenko, H.Kachkachi D.Garanin,R.Evans and R.W.Chantrell\u00a0 \u00abEffective anisotropies and energy barriers in magnetic nanoparticles with Neel surface anisotropy.\u00bb<\/em>, \u00a0Phys Rev B 76 (2007) 064416.<\/p>\n

[2]\u00a0 R. Yanes and O. Chubykalo-Fesenko \u201cModelling of the influence of the N\u00e9el surface anisotropy on the enhancement of the magnetic anisotropy in Co nanoparticle.\u201d,<\/em> J.Phys. D 42\u00a0 (2009) 055013.<\/p>\n

[3] R.Yanes, O.Chubykalo-Fesenko, R.F.L.Evans and R.W.Chantrell \u00a0\u201cTemperature dependence of the effective anisotropies in magnetic nanoparticles with Neel surface anisotropy\u201d,<\/em> \u00a0J.Phys. D: Appl. Phys. 43 (2010) 0.<\/p>\n

[4]\u00a0R. F.L. Evans, R. Yanes, O.Mryasov, R.W.Chantrell and O.Chubykalo-Fesenko \u201cOn beating the superparamagnetic limit with exchange bias\u201d,<\/em> Europhys. Lett. 88 (2009) 57004.<\/p>\n

[5] K.Yu.Guslienko, T.J.Klemmer, X.W.Wu, R.W.Chatnrell, D.Weller and O.Chubykalo \u00abComputational and experimental study of exchange coupling in FePt self-organised magnetic arrays\u00bb<\/em> Physica B 372,\u00a0 (2006) 328-331<\/p>\n

[6] A. Abbasi, L.Gutierrez, L. del Mercato, F.Herrantz, O.Chubykalo-Fesenko, S.Ventemillas-Verdaguer, \u00a0W.Parak, M.P.Morales, J.M.Gonzalez, A.Hernando, P. de la Presa \u00abMagnetic nanocapsules for NMR imaging: effect of magnetic nanoparticle spatial distribution and aggregation\u00bb<\/em>, <\/a>J. Phys. Chem. C 115 (2011) 6257.<\/p>\n","protected":false},"excerpt":{"rendered":"

Modeling of magnetic nanoparticles: We work on the modelling of magnetic nanoparticles in two approaches: (a) Individual nanoparticles as multispin systems. Our recent results include modelling of magnetic nanoparticles of different shapes and\u00a0internal structures with Neel surface anisotropy [1,2].\u00a0 Our approach is based on the Lagrange multiplier technique [1,2]\u00a0and recently developed constrained Monte Carlo to […]<\/p>\n","protected":false},"author":65,"featured_media":0,"parent":37,"menu_order":3,"comment_status":"closed","ping_status":"open","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-98","page","type-page","status-publish","hentry","post-preview"],"_links":{"self":[{"href":"https:\/\/wp.icmm.csic.es\/magsim\/wp-json\/wp\/v2\/pages\/98","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.icmm.csic.es\/magsim\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.icmm.csic.es\/magsim\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.icmm.csic.es\/magsim\/wp-json\/wp\/v2\/users\/65"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.icmm.csic.es\/magsim\/wp-json\/wp\/v2\/comments?post=98"}],"version-history":[{"count":0,"href":"https:\/\/wp.icmm.csic.es\/magsim\/wp-json\/wp\/v2\/pages\/98\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/wp.icmm.csic.es\/magsim\/wp-json\/wp\/v2\/pages\/37"}],"wp:attachment":[{"href":"https:\/\/wp.icmm.csic.es\/magsim\/wp-json\/wp\/v2\/media?parent=98"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}