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Extreme active matter at high densities

Author

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  • Rituparno Mandal

    (National Centre for Biological Sciences (TIFR))

  • Pranab Jyoti Bhuyan

    (Department of Physics, Indian Institute of Science)

  • Pinaki Chaudhuri

    (The Institute of Mathematical Sciences)

  • Chandan Dasgupta

    (Department of Physics, Indian Institute of Science
    International Centre for Theoretical Sciences (TIFR))

  • Madan Rao

    (National Centre for Biological Sciences (TIFR))

Abstract

We study the remarkable behaviour of dense active matter comprising self-propelled particles at large Péclet numbers, over a range of persistence times, from τp → 0, when the active fluid undergoes a slowing down of density relaxations leading to a glass transition as the active propulsion force f reduces, to τp → ∞, when as f reduces, the fluid jams at a critical point, with stresses along force-chains. For intermediate τp, a decrease in f drives the fluid through an intermittent phase before dynamical arrest at low f. This intermittency is a consequence of periods of jamming followed by bursts of plastic yielding associated with Eshelby deformations. On the other hand, an increase in f leads to an increase in the burst frequency; the correlated plastic events result in large scale vorticity and turbulence. Dense extreme active matter brings together the physics of glass, jamming, plasticity and turbulence, in a new state of driven classical matter.

Suggested Citation

  • Rituparno Mandal & Pranab Jyoti Bhuyan & Pinaki Chaudhuri & Chandan Dasgupta & Madan Rao, 2020. "Extreme active matter at high densities," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16130-x
    DOI: 10.1038/s41467-020-16130-x
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    Cited by:

    1. Jyoti Prasad Banerjee & Rituparno Mandal & Deb Sankar Banerjee & Shashi Thutupalli & Madan Rao, 2022. "Unjamming and emergent nonreciprocity in active ploughing through a compressible viscoelastic fluid," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. C.N., Sachin & Joy, Ashwin, 2022. "Entropy scaling laws in self propelled glass formers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    3. Rituparno Mandal & Corneel Casert & Peter Sollich, 2022. "Robust prediction of force chains in jammed solids using graph neural networks," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    4. C.N., Sachin & Joy, Ashwin, 2023. "Configurational entropy of self-propelled glass formers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).

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