Modeling peak interaction forces of soft matter with dynamic AFM in liquid

total of 149 pages, Chapters 1 to 6 make a total of 128 pages.

Detalles Bibliográficos
Autor: Vargas Guzmán, Horacio Andrés
Tipo de recurso: tesis doctoral
Fecha de publicación:2014
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/108646
Acceso en línea:http://hdl.handle.net/10261/108646
Access Level:acceso abierto
Palabra clave:peak force
nanomechanics
dynamic AFM
Numerical methods
soft matter
viscosity
elasticity
AFM
multivariate regression
permanent contact regime
indentation
Contact mechanics
Bimodal AFM
high resolution
AM-AFM
tapping mode
scientific computing
Scaling laws
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spelling Modeling peak interaction forces of soft matter with dynamic AFM in liquidVargas Guzmán, Horacio Andréspeak forcenanomechanicsdynamic AFMNumerical methodssoft matterviscosityelasticityAFMmultivariate regressionpermanent contact regimeindentationContact mechanicsBimodal AFMhigh resolutionAM-AFMtapping modescientific computingScaling lawstotal of 149 pages, Chapters 1 to 6 make a total of 128 pages.The atomic force microscope (AFM) is an instrument that has revolutionized the field of nanoscience and nanotechnology by enabling the characterization and manipulation of materials with nanometer (one billionth of a meter), molecular and atomic resolution. In the last 28 years a variety of experimental AFM techniques have been developed that go from contact to dynamic AFM modes or from working in air to liquid environments. A relevant research avenue within dynamic AFM modes is devoted to the generation of atomic and molecular resolution images of soft materials in liquid environments. Whereby different applications are envisioned into areas of medicine (nanomedicine) and advanced materials. The research presented here focus on two dynamic AFM methods: amplitude modulation AFM (AM-AFM) and Bimodal AM. This thesis describes the study of the peak interaction forces of soft materials under low-Q environments imaged with AM-AFM and Bimodal AM. The maximum interaction forces have been chosen because it rapidly enables tracking into the degree of invasiveness on the sample, its deformation and hence its resolution while imaging. This thesis proposes a theoretical modeling framework that can be divided in two closely related parts. The first part aims to refine the tip-sample interaction modeling for the description of elastic and viscoelastic phenomena of soft materials. The second part aims to obtain high-resolution imaging conditions from the numerical simulations of the dynamics of the cantilever-tip motion in liquid for an extensive range of dynamic AFM operational parameters and materials.Esta tesis doctoral aborda la descripción teórica de diversos modos dinámicos de la microscopia de fuerzas como son Amplitude Modulation AFM y Bimodal AM en líquidos. Uno de los objetivos es estimar la fuerza máxima ejercida sobre materiales blandos como polímeros o sistemas biológicos. La fuerza pico o máxima permite determinar el grado de invasividad de la técnica sobre una muestra, su deformación y por tanto la resolución espacial. El esquema de modelización se divide en dos partes. La primera parte tiene como objetivo la introducción de nuevos modelos de interacción entre la punta y la muestra para así describir fenómenos elásticos y viscoelásticos. La segunda parte se dedica a desarrollar las condiciones de trabajo del microscopio para obtener imágenes con alta resolución. Para ello se efectúan diversas simulaciones numéricas de la dinámica del sistema micropalanca-punta para una extensa variedad de parámetros operacionales y propiedades mecánicas de materiales.We thank the financial support from the Ministerio de Economia y Competitividad (Consolider Force-For-Future, CSD2010-00024, MAT2009-08650)Peer reviewedGarcía, Ricardo (CSIC supervisor)Pérez, Rubén (UAM)201420142014info:eu-repo/semantics/doctoralThesishttp://purl.org/coar/resource_type/c_db06http://hdl.handle.net/10261/108646reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSiinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1086462026-05-22T06:33:51Z
dc.title.none.fl_str_mv Modeling peak interaction forces of soft matter with dynamic AFM in liquid
title Modeling peak interaction forces of soft matter with dynamic AFM in liquid
spellingShingle Modeling peak interaction forces of soft matter with dynamic AFM in liquid
Vargas Guzmán, Horacio Andrés
peak force
nanomechanics
dynamic AFM
Numerical methods
soft matter
viscosity
elasticity
AFM
multivariate regression
permanent contact regime
indentation
Contact mechanics
Bimodal AFM
high resolution
AM-AFM
tapping mode
scientific computing
Scaling laws
title_short Modeling peak interaction forces of soft matter with dynamic AFM in liquid
title_full Modeling peak interaction forces of soft matter with dynamic AFM in liquid
title_fullStr Modeling peak interaction forces of soft matter with dynamic AFM in liquid
title_full_unstemmed Modeling peak interaction forces of soft matter with dynamic AFM in liquid
title_sort Modeling peak interaction forces of soft matter with dynamic AFM in liquid
dc.creator.none.fl_str_mv Vargas Guzmán, Horacio Andrés
author Vargas Guzmán, Horacio Andrés
author_facet Vargas Guzmán, Horacio Andrés
author_role author
dc.contributor.none.fl_str_mv García, Ricardo (CSIC supervisor)
Pérez, Rubén (UAM)
dc.subject.none.fl_str_mv peak force
nanomechanics
dynamic AFM
Numerical methods
soft matter
viscosity
elasticity
AFM
multivariate regression
permanent contact regime
indentation
Contact mechanics
Bimodal AFM
high resolution
AM-AFM
tapping mode
scientific computing
Scaling laws
topic peak force
nanomechanics
dynamic AFM
Numerical methods
soft matter
viscosity
elasticity
AFM
multivariate regression
permanent contact regime
indentation
Contact mechanics
Bimodal AFM
high resolution
AM-AFM
tapping mode
scientific computing
Scaling laws
description total of 149 pages, Chapters 1 to 6 make a total of 128 pages.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014
2014
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
http://purl.org/coar/resource_type/c_db06
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/108646
url http://hdl.handle.net/10261/108646
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Si
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869425772039503872
score 15.81155

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