Abstract
We study a strongly interacting crowded system of self-propelled stiff filaments by event-driven Brownian dynamics simulations and an analytical theory to elucidate the intricate interplay of crowding and self-propulsion. We find a remarkable increase of the effective diffusivity upon increasing the filament number density by more than one order of magnitude. This counterintuitive “crowded is faster” behavior can be rationalized by extending the concept of a confining tube pioneered by Doi and Edwards for highly entangled, crowded, passive to active systems. We predict a scaling theory for the effective diffusivity as a function of the Péclet number and the filament number density. Subsequently, we show that an exact expression derived for a single self-propelled filament with motility parameters as input can predict the nontrivial spatiotemporal dynamics over the entire range of length and timescales. In particular, our theory captures short-time diffusion, directed swimming motion at intermediate times, and the transition to complete orientational relaxation at long times.
- Received 27 April 2020
- Revised 14 July 2020
- Accepted 11 August 2020
DOI:https://doi.org/10.1103/PhysRevLett.125.138002
© 2020 American Physical Society
Physics Subject Headings (PhySH)
synopsis
Filaments Move Quickly Through a Crowd
Published 23 September 2020
A dense network inhibits the rotation of self-propelled protein filaments but unexpectedly promotes their overall diffusivity.
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