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Issue 15, 2019
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Statistical properties of autonomous flows in 2D active nematics

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Abstract

We study the dynamics of a tunable 2D active nematic liquid crystal composed of microtubules and kinesin motors confined to an oil–water interface. Kinesin motors continuously inject mechanical energy into the system through ATP hydrolysis, powering the relative microscopic sliding of adjacent microtubules, which in turn generates macroscale autonomous flows and chaotic dynamics. We use particle image velocimetry to quantify two-dimensional flows of active nematics and extract their statistical properties. In agreement with the hydrodynamic theory, we find that the vortex areas comprising the chaotic flows are exponentially distributed, which allows us to extract the characteristic system length scale. We probe the dependence of this length scale on the ATP concentration, which is the experimental knob that tunes the magnitude of the active stress. Our data suggest a possible mapping between the ATP concentration and the active stress that is based on the Michaelis–Menten kinetics that governs the motion of individual kinesin motors.

Graphical abstract: Statistical properties of autonomous flows in 2D active nematics

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Supplementary files

Article information


Submitted
13 sep 2018
Accepted
12 mar 2019
First published
13 mar 2019

Soft Matter, 2019,15, 3264-3272
Article type
Paper
Author version available

Statistical properties of autonomous flows in 2D active nematics

L. M. Lemma, S. J. DeCamp, Z. You, L. Giomi and Z. Dogic, Soft Matter, 2019, 15, 3264
DOI: 10.1039/C8SM01877D

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