dc.contributor.author | Gómez Moñivas, Sacha | |
dc.contributor.author | Castellano-Hernández, Elena | |
dc.contributor.other | UAM. Departamento de Ingeniería Informática | es_ES |
dc.date.accessioned | 2014-11-26T19:17:37Z | |
dc.date.available | 2014-11-26T19:17:37Z | |
dc.date.issued | 2012-01-09 | |
dc.identifier.citation | Applied Physics Letters 100.2 (2012): 023101 | en_US |
dc.identifier.issn | 1077-3118 (online) | en_US |
dc.identifier.issn | 0003-6951 (print) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/662696 | |
dc.description | Copyright 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.abstract | A 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.sponsorship | This work was supported by TIN2010-196079. G.M.S. acknowledges support from the Spanish Ramón y Cajal Program. | en_US |
dc.format.extent | 4 pág. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | American Institute of Physics | en_US |
dc.relation.ispartof | Applied Physics Letters | en_US |
dc.rights | © 2012 American Institute of Physics. | en_US |
dc.title | Ultrahigh dielectric constant of thin films obtained by electrostatic force microscopy and artificial neural networks | en_US |
dc.type | article | en_US |
dc.subject.eciencia | Informática | es_ES |
dc.relation.publisherversion | http://scitation.aip.org/content/aip/journal/apl/100/2/10.1063/1.3675446 | |
dc.identifier.doi | 10.1063/1.3675446 | |
dc.identifier.publicationfirstpage | 023101 | |
dc.identifier.publicationissue | 2 | |
dc.identifier.publicationlastpage | 023101 | |
dc.identifier.publicationvolume | 100 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | en |
dc.contributor.group | Neurocomputación Biológica (ING EPS-005) | es_ES |
dc.rights.accessRights | openAccess | en |
dc.facultadUAM | Escuela Politécnica Superior | |