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Area of Science:

  • Physics
  • Fluid Dynamics
  • Statistical Mechanics

Background:

  • Active matter systems, like suspensions of self-propelled particles, exhibit complex behaviors.
  • Understanding the driving forces behind pattern formation and turbulence in these systems is crucial.

Purpose of the Study:

  • To identify and characterize a novel instability mechanism in suspensions of self-propelled particles.
  • To explore the transition from regular oscillations to active turbulence in these systems.

Main Methods:

  • High-resolution numerical simulations of self-propelled particle suspensions.
  • Analysis of statistical features of emergent active turbulence.

Main Results:

  • Discovery of an instability mechanism not driven by active stress, but by inertia, motility, and concentration fluctuations.
  • Observation of a time lag between velocity and concentration fields driving the instability.
  • Characterization of self-sustained waves of concentration and orientation, transitioning to wave turbulence.
  • Identification of a connection between active turbulence and the Batchelor spectrum of passive scalars.

Conclusions:

  • A new route to active turbulence in self-propelled particle systems has been identified.
  • The interplay of inertia, motility, and concentration fluctuations is key to this phenomenon.
  • The findings offer insights into the statistical mechanics of active matter.