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Related Concept Videos

Atomic Force Microscopy01:08

Atomic Force Microscopy

Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...

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Updated: Jun 15, 2026

Sub-nanometer Resolution Imaging with Amplitude-modulation Atomic Force Microscopy in Liquid
10:25

Sub-nanometer Resolution Imaging with Amplitude-modulation Atomic Force Microscopy in Liquid

Published on: December 20, 2016

Intermittency in amplitude modulated dynamic atomic force microscopy.

Ferdinand Jamitzky1, Robert W Stark

  • 1Leibniz Supercomputing Centre, Garching, Germany.

Ultramicroscopy
|March 13, 2010
PubMed
Summary
This summary is machine-generated.

Atomic Force Microscopy (AFM) dynamics can exhibit chaos through intermittent collisions. Understanding this intermittency route helps control AFM performance by avoiding chaotic operational ranges.

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Area of Science:

  • Physics
  • Non-linear Dynamics
  • Surface Science

Background:

  • Atomic Force Microscopy (AFM) operates as a continuous-time dynamical system with intermittent impact collisions.
  • Tip-surface interactions in AFM introduce velocity discontinuities, influencing system dynamics.
  • Non-linear systems can transition to chaos via bifurcation cascades, crisis, quasi-periodicity, and intermittency.

Purpose of the Study:

  • To investigate the route into chaos in dynamic AFM experiments.
  • To characterize the observed intermittency as a specific type.
  • To understand AFM dynamics for improved system performance and chaos control.

Main Methods:

  • Mathematical modeling of AFM as a dynamical system with impact collisions.
  • Analysis of time series data from dynamic AFM experiments.
  • Characterization of observed intermittency using established routes into chaos.

Main Results:

  • Dynamic AFM experiments reveal a chaotic mode linked to the intermittency route into chaos.
  • The observed intermittency is identified as Type III intermittency.
  • Period doubling and period-adding cascades are known routes, but intermittency also plays a role.

Conclusions:

  • Intermittency, specifically Type III, is a significant route to chaos in dynamic AFM.
  • Understanding these chaotic dynamics is crucial for optimizing AFM operational parameters.
  • Controlling or avoiding chaos in AFM operation can enhance overall system performance.