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Title: Statistical properties of autonomous flows in 2D active nematics

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. In conclusion, 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.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3]; ORCiD logo [3];  [1]
  1. Brandeis University, Waltham, MA (United States); University of California, Santa Barbara, CA (United States)
  2. Brandeis University, Waltham, MA (United States)
  3. Universiteit Leiden (The Netherlands)
Publication Date:
Research Org.:
Brandeis Univ., Waltham, MA (United States); Univ. of California, Santa Barbara, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1659763
Alternate Identifier(s):
OSTI ID: 1503729
Grant/Contract Number:  
SC0010432; SC0010432TDD
Resource Type:
Accepted Manuscript
Journal Name:
Soft Matter
Additional Journal Information:
Journal Volume: 15; Journal Issue: 15; Journal ID: ISSN 1744-683X
Publisher:
Royal Society of Chemistry
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS; Active matter

Citation Formats

Lemma, Linnea M., DeCamp, Stephen J., You, Zhihong, Giomi, Luca, and Dogic, Zvonimir. Statistical properties of autonomous flows in 2D active nematics. United States: N. p., 2019. Web. doi:10.1039/c8sm01877d.
Lemma, Linnea M., DeCamp, Stephen J., You, Zhihong, Giomi, Luca, & Dogic, Zvonimir. Statistical properties of autonomous flows in 2D active nematics. United States. https://doi.org/10.1039/c8sm01877d
Lemma, Linnea M., DeCamp, Stephen J., You, Zhihong, Giomi, Luca, and Dogic, Zvonimir. Wed . "Statistical properties of autonomous flows in 2D active nematics". United States. https://doi.org/10.1039/c8sm01877d. https://www.osti.gov/servlets/purl/1659763.
@article{osti_1659763,
title = {Statistical properties of autonomous flows in 2D active nematics},
author = {Lemma, Linnea M. and DeCamp, Stephen J. and You, Zhihong and Giomi, Luca and Dogic, Zvonimir},
abstractNote = {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. In conclusion, 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.},
doi = {10.1039/c8sm01877d},
journal = {Soft Matter},
number = 15,
volume = 15,
place = {United States},
year = {Wed Mar 13 00:00:00 EDT 2019},
month = {Wed Mar 13 00:00:00 EDT 2019}
}

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Works referencing / citing this record:

Topological chaos in active nematics
journal, August 2019


Self-organized dynamics and the transition to turbulence of confined active nematics
journal, February 2019

  • Opathalage, Achini; Norton, Michael M.; Juniper, Michael P. N.
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Self-organized dynamics and the transition to turbulence of confined active nematics
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