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Updated: Apr 5, 2026

C. elegans Tracking and Behavioral Measurement
Published on: November 17, 2012
Self-propelled worm-like filaments: spontaneous spiral formation, structure, and dynamics
Rolf E Isele-Holder1, Jens Elgeti, Gerhard Gompper
1Theoretical Soft Matter and Biophysics, Institute of Complex Systems and Institute for Advanced Simulation, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany. r.isele-holder@fz-juelich.de j.elgeti@fz-juelich.de g.gompper@fz-juelich.de.
Brownian dynamics simulations reveal that propelled worm-like filaments form stable spirals when propulsion is strong and filaments are flexible. Propulsion significantly impacts dynamics but not structure, unless spirals form.
Area of Science:
- Physics
- Soft Matter Physics
- Biophysics
Background:
- Filaments propelled along their tangent vector are common in biological and artificial systems.
- Understanding their dynamics and emergent structures is crucial for various applications.
Purpose of the Study:
- To investigate the behavior of 2D worm-like filaments under active propulsion using Brownian dynamics simulations.
- To explore the impact of propulsion strength and filament flexibility on dynamic and structural properties.
Main Methods:
- Brownian dynamics simulations in two dimensions.
- Exploration of a wide parameter space including propulsion strength and filament flexibility.
- Analysis of dynamic properties (mean square displacement, diffusion coefficients) and structural properties.
Main Results:
- Strongly propelled and flexible filaments spontaneously form stable spirals.
- Propulsion significantly affects dynamic properties like rotational and translational diffusion.
- An activity-induced contribution to the rotational diffusion coefficient was identified: v(c)/ξ(P).
- Structural properties remain largely unaffected by propulsion in the absence of spiral formation.
Conclusions:
- Active self-propulsion can lead to emergent collective behavior (spirals) in flexible filaments.
- The interplay between active propulsion and thermal fluctuations dictates the dynamic properties.
- The model provides insights into biological systems like microtubules and bacteria, as well as artificial microswimmers.
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