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dc.contributor.authorGómez Moñivas, Sacha 
dc.contributor.authorCastellano-Hernández, Elena
dc.contributor.otherUAM. Departamento de Ingeniería Informáticaes_ES
dc.date.accessioned2014-11-26T19:17:37Z
dc.date.available2014-11-26T19:17:37Z
dc.date.issued2012-01-09
dc.identifier.citationApplied Physics Letters 100.2 (2012): 023101en_US
dc.identifier.issn1077-3118 (online)en_US
dc.identifier.issn0003-6951 (print)en_US
dc.identifier.urihttp://hdl.handle.net/10486/662696
dc.descriptionCopyright 2012 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics.en_US
dc.description.abstractA detailed analysis of the electrostatic interaction between an electrostatic force microscope tip and a thin film is presented. By using artificial neural networks, an equivalent semiinfinite sample has been described as an excellent approximation to characterize the whole thin film sample. A useful analytical expression has been also developed. In the case of very small thin film thicknesses (around 1 nm), the electric response of the material differs even for very high dielectric constants. This effect can be very important for thin materials where the finite size effect can be described by an ultrahigh thin filmdielectric constant.en_US
dc.description.sponsorshipThis work was supported by TIN2010-196079. G.M.S. acknowledges support from the Spanish Ramón y Cajal Program.en_US
dc.format.extent4 pág.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherAmerican Institute of Physicsen_US
dc.relation.ispartofApplied Physics Lettersen_US
dc.rights© 2012 American Institute of Physics.en_US
dc.titleUltrahigh dielectric constant of thin films obtained by electrostatic force microscopy and artificial neural networksen_US
dc.typearticleen_US
dc.subject.ecienciaInformáticaes_ES
dc.relation.publisherversionhttp://scitation.aip.org/content/aip/journal/apl/100/2/10.1063/1.3675446
dc.identifier.doi10.1063/1.3675446
dc.identifier.publicationfirstpage023101
dc.identifier.publicationissue2
dc.identifier.publicationlastpage023101
dc.identifier.publicationvolume100
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.contributor.groupNeurocomputación Biológica (ING EPS-005)es_ES
dc.rights.accessRightsopenAccessen
dc.facultadUAMEscuela Politécnica Superior


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