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This study introduces an active chain model to explore non-equilibrium behaviors in biological systems. The model reveals how elasticity, activity, and topological constraints drive complex dynamics like self-rotation and self-beating.

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Area of Science:

  • Physics
  • Biophysics
  • Soft Matter Physics

Background:

  • Non-equilibrium behaviors in biological systems are crucial but lack experimental models.
  • The interplay of elasticity and activity is hypothesized to be a key driver of these behaviors.

Purpose of the Study:

  • To design and investigate a model system for studying the dynamics of active chains.
  • To explore the interplay of activity, elasticity, and friction in generating non-equilibrium phenomena.

Main Methods:

  • Development of an active chain model comprising eccentric disks linked by springs.
  • Simulations of individual and long chains, including analysis of motion under different constraints (pinning, clamping).
  • Analysis of scaling relationships for rotational and beating frequencies.

Main Results:

  • The model system qualitatively reproduces self-rotation and self-beating behaviors.
  • A hairpin conformation emerges in free-moving chains.
  • Rotational and beating frequencies scale with the flexure number (χ) as ∼(χ)4/3 in constrained motions.

Conclusions:

  • Topological constraints are vital for non-equilibrium synergy behaviors in active matter systems.
  • The observed scaling suggests a balance between self-propelling forces and energy dissipation.
  • The eccentric-disk model provides insights into complex dynamics in active biological systems.