Tip identification in atomic force microscopy using nonlinear dynamics

Tip identification in atomic force microscopy using nonlinear dynamics

Gribnau, Thomas (TU Delft Mechanical, Maritime and Materials Engineering; TU Delft Precision and Microsystems Engineering)

Rull Trinidad, E. (mentor)
Alijani, F. (mentor)
Staufer, U. (mentor)
Steeneken, P.G. (graduation committee)
Spronck, J.W. (graduation committee)

Delft University of Technology

Mechanical Engineering | Micro and Nano Engineering

2017-12-04

Since its invention, the Atomic Force Microscope has emerged into one of the most useful tools in
nanotechnology due to its acclaimed abilities in exploring surface topography, micro- and nanoscale manipulation
and characterization. The nonlinear interaction between the cantilever tip and the sample surface
has been studied in great detail and a thorough understanding of the cantilever dynamics can improve
measurements and lead to new methods for identification, manipulation and characterization. One of the
biggest challenges in the field of AFM is related to the identification of the cantilever tip size. The accuracy of
measurements in AFM is directly related to the size and geometry of this tip. It is desired that the tip condition
can be continuously monitored in between or even throughout measurements in order to provide high
quality measurements. In this thesis project, a methodology for tip assessment is introduced based on the
nonlinear dynamic response of the cantilever. The method consists of the acquisition of frequency response
curves in the attractive regime where the influence of the tip radius is predominant. Experimental frequency
response curves are fitted to the tip-sample interaction model that includes the van der Waals forces. It is
found that exploiting the nonlinear dynamic response of the cantilever is a safe and accurate method for tip
assessment.

Atomic force microscopy
Nonlinear dynamics
van der Waals forces
Intermolecular forces

http://resolver.tudelft.nl/uuid:c52aadfd-0437-4d24-8758-4fd85f6a4231

Student theses

master thesis

© 2017 Thomas Gribnau