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Swarming and swirling: from granular rods to bacterial colonies

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Title: Swarming and swirling: from granular rods to bacterial colonies


1
Swarming and swirling from granular rods
tobacterial colonies
  • Arshad Kudrolli
  • Department of Physics, Clark University
  • Collaborators K. Safford, G. Lumay (Clark),
  • D. Volfson, L. Tsimring (UCSD)
  • M. Kardar (MIT), Y. Kantor (Tel-Aviv)
  • Supported by National Science Foundation
    DMR-0605664

2
Background
Bacillus subtilis colony in a peptone and agar
rich thin layer
9 mm long rod shaped, driven by flagella, change
direction by tumbling
Low agar (viscosity)
High agar (viscosity)
Delprato, Samadani Kudrolli (2001)
3
Importance of shape in thermal systems
Beyond spherical particles
Entropy maximization leads to long range order
Onsager (1949)
Tobacco mosaic virus (X35,000) The American
Phytopathological Society
4
Elephant seal colonies
California, 2005
5
Motivation
  • Examine the structure and dynamics of athermal
    apolar or polar, rigid or flexible rods which
    interact only during contact
  • Structure
  • can the configurations be described by polymer
    models (Doi Edwards)
  • are ordering transitions observed with density
  • Dynamics
  • how does the diffusion scale with rod length,
    density
  • convection? vortices
  • ratchet motion
  • random walk, directed random walk
  • Active particle hydrodynamics

6
Structure and dynamics of particles driven by
vibration
Rigid or Flexible polar rods
Anisotropy
Rigid or Flexible apolar rods
Area/Volume fraction
  • Flexible rods beaded chain with and without a
    head
  • Rigid rods - Rods, dimers, Robo-bug

7
Experimental apparatus
High Frame Rate Camera (1k x 1k pixels)
N 1024
a G sin(2p f t)
  • Experimental parameters
  • 3g, f 30 Hz
  • Particle diameter d 3.12 mm, connected by links
    0 to 1.5 mm
  • Bead number
  • N 1 - 1024

-D. Blair
8
Self-avoiding random walk polymer model
Characteristic size, Radius of gyration
  • ¾ in two dimensions
  • ½ for ideal chain

9
Persistence length of the chain
  • Assuming each step in the chain can turn with a
    maximum angle of p/4 and the angles are uniformly
    distributed between p/4 and -p/4
  • Persistence length Nc 10
  • using
  • ltcos(qn q1)gt ltcos(q2 q1)gtn-1 exp(
    (n-1)/Nc)
  • gives
  • Nc 1/ln(ltcos(q2 q1)gt) with ltcos(q2 q1)gt
    2 sqrt(2)/ p

10
Radius of Gyration
Experiment
RW
2
SAW
10
d
8
/
6
g
R
4
2
1
4
6
2
4
6
2
4
6
2
10
100
1000
N
  • Random Walk and Self-Avoided Walks simulations
    performed by Yacov Kantor
  • Walks have a persistence length and were
    confined to a circle

11
Pair correlation
for q Rg lt 1
Unconfined SAW model
Doi, Edwards (1999)
for q Rg gt 1
12
Comparison with a self avoided walk simulation
13
Dynamics of the chain
center of mass of the chain
14
Diffusion constant versus chain length
Rouse model - assumes that each monomer
experiences a viscous drag proportional to its
velocity
kT -gt ½ mltv2gt 0.5 J, the granular temperature
is constant ? 2.87 10-2 N-m-1s, the drag
coefficient
Thus, vibrated surface acts like a thermal fluid
which gives and takes energy
15
Dynamic Structure
  • In the limit of q Rg ltlt 1, rn rm gtgt Rg and t
    large, g(q,t) -gt N exp(-k2 t/ D)

Structure and dynamics of vibrated granular
chains Comparison to equilibrium polymers, K.
Safford, Y. Kantor, M. Kardar, and A. Kudrolli,
PRE (accepted)
16
  • Next examine diffusion as a function of number of
    chains

17
Diffusion as a function of density
f 0.12
f 0.48
Chains of length N 8
Area fraction f n N (d/D)2
18
Displacements parallel and perpendicular to
principal axis
Parallel Component
Perpendicular Component
  • Diffusion decreases with area fraction
  • Perpendicular component decrease faster

19
Dynamics of non-spherical rigid particles on
vibrated plate
S. Dorbolo, D. Volfson, L. Tsimring, A.K., PRL
(2005)
  • Frictional interaction with substrate and
    symmetry breaking leads to translation motion in
    rods and dimers
  • Derived relation for translation speed as a
    function of aspect ratio, vibration amplitude and
    frequency

Also Stochastic dynamics of a rod bouncing upon
a vibrating surface, Wright et al, PRE (2006)
20
Collective dynamics of rigid rods
Slip Reversal regime
Slip-Stick regime
where, Vz V0/2
- D. Blair, T. Neicu, A.K. (2003), D. Volson,
A.K., L. Tsimring, PRE (2004)
21
Self-organized vortex patterns observed with rods
  • Driving
  • a/g
  • f 50 Hz,
  • N 8000
  • nf 0.535

Rods l 6.2 mm d 0.5 mm N 0
10000 Thanks to Seth Fraden
G 4.2
N Number of rods Nmax Rods required to
obtain a vertically aligned monolayer
D. Blair, T. Neicu, A.K. (2003)
22
Phase diagram
Vortex motion
Nematic
  • Vortex motion observed when rods are tilted with
    respect to horizontal
  • Convective motion is not observed when rods are
    horizontal in our case
  • Isotropic-Nematic transition studied in detail
    by Galanis et al, PRL (2006)
  • Particle currents observed in vibrated rods by
    Narayan et al, Science (2007). Aranson et al,
    (2007) observe swirls when horizontal vibration
    component added

23
Asymmetric Dimer Ratchets Robo-Bug
Simplest examples of noise driven motors
Steel-Glass beads
Aluminum-Steel beads
  • Symmetry breaking leads to directed motion
  • Sano et al PRE (2003) observed directed motion
    with a bolt shaped particle

24
Polar Rods
- Geoffroy Lumay
25
Cooperative dynamics with polar rods
f 0.3, G 2
  • Particles migrate to the boundary on a flat bed
    under low noise conditions


26
Alignment at boundaries observed in bacterial
colonies?
Bacillus subtilis colony
27
Cooperative dynamics with polar rods
f 0.3, G 4
  • Particles are uniformly distributed at higher
    excitation


28
Event driven simulation model
Dmitri Volfson and Lev Tsimring
Simulation of polar rods moving on a substrate
inside a circular boundary
Event Driven Simulations
R60, dr 0.732, Lr/dr 3.5 (from tip to tip)
mrr mrw 0.3, err erw 0.9, Cvdamp 0.5 Also
Peruani et al, PRE (2006)
29
Event driven simulation model
Dmitri Volfson and Lev Tsimring
R60, dr 0.732, Lr/dr 3.5 (from tip to tip)
mrr mrw 0.3, err erw 0.9, Cvdamp 0.5 Also
Peruani et al, PRE (2006)
30
Cooperative Dynamics
G 2g
G 4g
G 3g
Boundary aggregation vanishes for small aspect
ratio
31
Velocity field of the polar rods
G 3, t 5s
32
Spatial velocity correlation
Velocityrod director correlation
  • Velocity strongly correlated with director even
    in presence of rod-rod collisions
  • Correlation length is small and therefore system
    is in disordered state

33
Particle number fluctuations
N
  • Tu Toner (1997), Toner (personal communication)
    predict fluctuations to scale as N7/12 for
    ordered polar self-propelled particles
  • Fit gives an exponent close to 2/3 Open question

34
Swarming and swirling in self-propelled granular
rods, A. K., G. Lumay, D. Volfson, and L.
Tsimring, PRL (2008)
  • Rigid polar rods are trapped at the boundary
    under low noise conditions
  • Incipient clustering observed due to interplay
    between directed motion and particle shape even
    in disordered regime

35
Diffusion of flexible self-propelled polar
particleConstruction of a particle with a head
and a flexible tail
Tail

Head
  • Two types of surfaces
  • Sand-blasted surface with 50 mm roughness
  • Layer of 1 mm steel beads glued on vibrated
    surface

36
Trajectory on a smooth substrate
  • Motion of the SPP over 2.5s (left), 2000s
    (right).
  • Confinement becomes important over long times.

37
Rough versus smooth substrate
  • Motion on a rough substrate quickly becomes
    diffusive, but on smooth substrate motion appears
    super-diffusive because of persistent nature of
    motion

38
Dynamics of self-propelled particles as a
function of area fraction in two dimensions
Area fraction 0.08
Area fraction 0.5
Area fraction 0.6
SPP appear trapped
SPP diffuse
(Black) Head 3 (White) beads Aspect ratio 7
39
Mean square displacement
  • Diffusion decreases with volume fraction, but
    consistent with normal diffusion below jamming
  • Need to do experiments over longer time interval

40
Conclusions
  • Polymer models give good description of
    configurations and dynamics of vibrated granular
    chains
  • Diffusion decreases in perpendicular direction as
    chain concentration is increased
  • Self-propelled particles can be constructed by
    using asymmetric mass distributions, motion
    described by persistent random walk models
  • Show novel aggregation patterns such as swarming
    ring without any potential attractant

http//physics.clarku.edu/akudrolli
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