Quantitative Electrostatic Force Microscopy-Phase on Silicon Oxide Nanostructures

[EN] Phase-mode electrostatic force microscopy (EFM-Phase) is aviable technique to image surface electrostatic potential ofsilicon oxide stripes fabricated by oxidation scanning probelithography, exhibiting an inhomogeneous distribution of lo-calized charges trapped within the stripes during the ele...

Descripción completa

Detalles Bibliográficos
Autores: Albonetti, Cristiano, Chiodini, Stefano, Annibale, Paolo, Stoliar, Pablo, Martínez, Ramsés V., García García, Ricardo, Biscarini, Fabio
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/216620
Acceso en línea:http://hdl.handle.net/10261/216620
Access Level:acceso abierto
Palabra clave:Electrostatic force microscopy
Nanostructures
Oxidation scanningprobe lithography
Prolate spheroidal coordinates
Silicon oxide
Descripción
Sumario:[EN] Phase-mode electrostatic force microscopy (EFM-Phase) is aviable technique to image surface electrostatic potential ofsilicon oxide stripes fabricated by oxidation scanning probelithography, exhibiting an inhomogeneous distribution of lo-calized charges trapped within the stripes during the electro-chemical reaction. We show here that these nanopatterns areuseful benchmark samples for assessing the spatial/voltageresolution of EFM-phase. To quantitatively extract the rel-evant observables, we developed and applied an analyticalmodel of the electrostatic interactions in which the tip and thesurface are modelled in a prolate spheroidal coordinates sys-tem, fitting accurately experimental data. A lateral resolutionof ∼60 nm, which is comparable to the lateral resolution ofEFM experiments reported in the literature, and a charge res-olution of ∼20 electrons are achieved. This electrostatic anal-ysis evidences the presence of a bimodal population of trappedcharges in the nanopatterned stripes.