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A Rapidly Incremented Tethered-Swimming Maximal Protocol for Cardiorespiratory Assessment of Swimmers
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Published on: January 28, 2020

Stochastic low Reynolds number swimmers.

Ramin Golestanian1, Armand Ajdari

  • 1Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, UK.

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|August 10, 2011
PubMed
Summary
This summary is machine-generated.

Researchers developed a theoretical framework for stochastic motors to propel micro-swimmers using random motion. This approach enables directed movement for low Reynolds number swimmers, crucial for nanoscale applications.

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Area of Science:

  • Physics
  • Biophysics
  • Nanotechnology

Background:

  • Autonomous micro-swimmers face challenges in achieving directed propulsion using deterministic methods at low Reynolds numbers.
  • Future advancements require strategies that harness random conformational changes for directed motion.

Purpose of the Study:

  • To present a theoretical formulation for a 'stochastic motor' to drive low Reynolds number swimmers.
  • To investigate the propulsion of a three-sphere swimmer model using this stochastic motor concept.

Main Methods:

  • Developed a theoretical framework for stochastic motors operating out of equilibrium.
  • Applied the formulation to a simplified three-sphere swimmer model.

Main Results:

  • Demonstrated that breaking detailed balance and driving the motor out of equilibrium enables directed propulsion.
  • The stochastic motor can effectively propel the swimmer in a desired direction.

Conclusions:

  • The theoretical formulation provides a viable method for generating directed motion in micro-swimmers.
  • This approach is applicable for optimizing the design of molecular-scale low Reynolds number swimmers.