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Published on: February 28, 2019
Effects of nonlinear forces on dynamic mode atomic force microscopy and spectroscopy
Soma Das1, P A Sreeram, A K Raychaudhuri
1DST Unit for Nanoscience, S. N. Bose National Centre for Basic Sciences, Block-JD, Sector-III, Salt Lake, Kolkata 700098, India.
Journal of Nanoscience and Nanotechnology
|July 28, 2007
Summary
Nonlinear tip-sample forces cause jumps and hysteresis in atomic force microscopy. This phenomenon, observed in amplitude-distance curves, is due to bistability in the resonance curve, influenced by oscillation frequency relative to the cantilever's natural frequency.
Area of Science:
- Physics
- Materials Science
- Surface Science
Background:
- Atomic Force Microscopy (AFM) is a high-resolution surface imaging technique.
- Dynamic mode AFM utilizes cantilever oscillations to probe tip-sample interactions.
- Understanding nonlinear forces is crucial for accurate AFM measurements and spectroscopy.
Purpose of the Study:
- To investigate the impact of nonlinear tip-sample forces on dynamic mode AFM.
- To explain the observed jumps and hysteresis in amplitude-distance curves.
- To elucidate the relationship between oscillation frequency and hysteresis phenomena.
Main Methods:
- Experimental dynamic mode atomic force microscopy and spectroscopy.
- Numerical analysis of the fundamental dynamic equation governing cantilever oscillations.
- Analysis of vibration amplitude (A) versus tip-sample distance (h) curves.
Main Results:
- Nonlinear tip-sample forces lead to bistability in the AFM cantilever's resonance curve.
- This bistability directly causes the observed jumps and hysteresis in A-h curves.
- The specific location of hysteresis is dependent on the driving oscillation frequency relative to the cantilever's natural frequency.
Conclusions:
- Bistability in the resonance curve is the primary cause of hysteresis in dynamic mode AFM.
- Frequency-dependent behavior is a key factor in understanding and mitigating these nonlinear effects.
- This research provides a framework for interpreting complex AFM data and improving spectroscopic analysis.

