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Utilization of coupled eigenmodes in Akiyama atomic force microscopy probes for bimodal multifrequency sensing.
Kort-Kamp, Wilton J M; Murdick, Ryan A; Htoon, Han; Jones, Andrew C.
Afiliação
  • Kort-Kamp WJM; Theoretical Division, Los Alamos National Laboratory, Los Alamos, United States of America.
  • Murdick RA; Renaissance Scientific, Boulder, Colorado United States of America.
  • Htoon H; Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Los Alamos, United States of America.
  • Jones AC; Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Los Alamos, United States of America.
Nanotechnology ; 33(45)2022 Aug 17.
Article em En | MEDLINE | ID: mdl-35853401
ABSTRACT
Akiyama atomic force microscopy probes represent a unique means of combining several of the desirable properties of tuning fork and cantilever probe designs. As a hybridized mechanical resonator, the vibrational characteristics of Akiyama probes result from a complex coupling between the intrinsic vibrational eigenmodes of its constituent tuning fork and bridging cantilever components. Through a combination of finite element analysis modeling and experimental measurements of the thermal vibrations of Akiyama probes we identify a complex series of vibrational eigenmodes and measure their frequencies, quality factors, and spring constants. We then demonstrate the viability of Akiyama probes to perform bimodal multi-frequency force sensing by performing a multimodal measurement of a surface's nanoscale photothermal response using photo-induced force microscopy imaging techniques. Further performing a parametric search over alternative Akiyama probe geometries, we propose two modified probe designs to enhance the capability of Akiyama probes to perform sensitive bimodal multifrequency force sensing measurements.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article