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Polynomial force approximations and multifrequency atomic force microscopy

We present polynomial force reconstruction from experimental intermodulation atomic force microscopy (ImAFM) data. We study the tip–surface force during a slow surface approach and compare the results with amplitude-dependence force spectroscopy (ADFS). Based on polynomial force reconstruction we ge...

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Detalles Bibliográficos
Autores principales: Platz, Daniel, Forchheimer, Daniel, Tholén, Erik A, Haviland, David B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Beilstein-Institut 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3701428/
https://www.ncbi.nlm.nih.gov/pubmed/23844340
http://dx.doi.org/10.3762/bjnano.4.41
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author Platz, Daniel
Forchheimer, Daniel
Tholén, Erik A
Haviland, David B
author_facet Platz, Daniel
Forchheimer, Daniel
Tholén, Erik A
Haviland, David B
author_sort Platz, Daniel
collection PubMed
description We present polynomial force reconstruction from experimental intermodulation atomic force microscopy (ImAFM) data. We study the tip–surface force during a slow surface approach and compare the results with amplitude-dependence force spectroscopy (ADFS). Based on polynomial force reconstruction we generate high-resolution surface-property maps of polymer blend samples. The polynomial method is described as a special example of a more general approximative force reconstruction, where the aim is to determine model parameters that best approximate the measured force spectrum. This approximative approach is not limited to spectral data, and we demonstrate how it can be adapted to a force quadrature picture.
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spelling pubmed-37014282013-07-10 Polynomial force approximations and multifrequency atomic force microscopy Platz, Daniel Forchheimer, Daniel Tholén, Erik A Haviland, David B Beilstein J Nanotechnol Full Research Paper We present polynomial force reconstruction from experimental intermodulation atomic force microscopy (ImAFM) data. We study the tip–surface force during a slow surface approach and compare the results with amplitude-dependence force spectroscopy (ADFS). Based on polynomial force reconstruction we generate high-resolution surface-property maps of polymer blend samples. The polynomial method is described as a special example of a more general approximative force reconstruction, where the aim is to determine model parameters that best approximate the measured force spectrum. This approximative approach is not limited to spectral data, and we demonstrate how it can be adapted to a force quadrature picture. Beilstein-Institut 2013-06-10 /pmc/articles/PMC3701428/ /pubmed/23844340 http://dx.doi.org/10.3762/bjnano.4.41 Text en Copyright © 2013, Platz et al. https://creativecommons.org/licenses/by/2.0https://www.beilstein-journals.org/bjnano/termsThis is an Open Access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The license is subject to the Beilstein Journal of Nanotechnology terms and conditions: (https://www.beilstein-journals.org/bjnano/terms)
spellingShingle Full Research Paper
Platz, Daniel
Forchheimer, Daniel
Tholén, Erik A
Haviland, David B
Polynomial force approximations and multifrequency atomic force microscopy
title Polynomial force approximations and multifrequency atomic force microscopy
title_full Polynomial force approximations and multifrequency atomic force microscopy
title_fullStr Polynomial force approximations and multifrequency atomic force microscopy
title_full_unstemmed Polynomial force approximations and multifrequency atomic force microscopy
title_short Polynomial force approximations and multifrequency atomic force microscopy
title_sort polynomial force approximations and multifrequency atomic force microscopy
topic Full Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3701428/
https://www.ncbi.nlm.nih.gov/pubmed/23844340
http://dx.doi.org/10.3762/bjnano.4.41
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