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Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light
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Published on: September 20, 2017

Dynamics of light particles in oscillating cellular flows.

Roberto Festa1, Andrea Mazzino, Manuela Todini

  • 1Department of Physics, University of Genova, via Dodecaneso 33, 16146 Genova, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|November 13, 2009
PubMed
Summary

Researchers studied light particle movement in oscillating cellular flows. Stable trajectories attract particles, persisting even with noise, until a critical Péclet number is reached, impacting plankton patchiness.

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Area of Science:

  • Fluid dynamics
  • Statistical mechanics
  • Biophysics

Background:

  • Cellular flows exhibit complex dynamics influencing particle transport.
  • Understanding particle behavior in oscillating flows is crucial for various scientific fields.
  • The phenomenon of oceanic plankton patchiness remains a significant unsolved problem.

Purpose of the Study:

  • To analytically and numerically investigate light particle dynamics in chaotic oscillating cellular flows.
  • To determine how fixed points in stationary flows transform into stable trajectories under oscillation.
  • To explore the implications for oceanic plankton distribution.

Main Methods:

  • Analytical investigation using linear analysis of oscillation amplitude.
  • Numerical simulations employing Monte Carlo methods.
  • Testing trajectory robustness by introducing white noise into particle motion.

Main Results:

  • Fixed points in stationary flows deform into closed, stable attracting trajectories.
  • These attracting trajectories capture asymptotic particle paths across a broad parameter range.
  • Attracting trajectories remain robust up to a critical Péclet number, beyond which average rising velocity emerges.

Conclusions:

  • The study elucidates the behavior of light particles in oscillating cellular flows.
  • The identified attracting trajectories offer a potential mechanism for explaining oceanic plankton patchiness.
  • The findings provide insights into particle transport influenced by flow oscillations and noise.