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Crowding-Enhanced Diffusion: An Exact Theory for Highly Entangled Self-Propelled Stiff Filaments.
Mandal, Suvendu; Kurzthaler, Christina; Franosch, Thomas; Löwen, Hartmut.
Afiliação
  • Mandal S; Institut für Theoretische Physik II: Weiche Materie, Heinrich-Heine-Universität Düsseldorf, D-40225 Düsseldorf, Germany.
  • Kurzthaler C; Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey 08544, USA.
  • Franosch T; Institut für Theoretische Physik, Universität Innsbruck, A-6020 Innsbruck, Austria.
  • Löwen H; Institut für Theoretische Physik, Universität Innsbruck, A-6020 Innsbruck, Austria.
Phys Rev Lett ; 125(13): 138002, 2020 Sep 25.
Article em En | MEDLINE | ID: mdl-33034497
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Rev Lett Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Rev Lett Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Alemanha