Active dumbbells Leticia F. Cugliandolo Universit Pierre et Marie - - PowerPoint PPT Presentation

active dumbbells
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Active dumbbells Leticia F. Cugliandolo Universit Pierre et Marie - - PowerPoint PPT Presentation

Active dumbbells Leticia F. Cugliandolo Universit Pierre et Marie Curie Sorbonne Universits Institut Universitaire de France leticia@lpthe.jussieu.fr www.lpthe.jussieu.fr/ leticia Work in collaboration with D. Loi & S. Mossa


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SLIDE 1

Active dumbbells

Leticia F. Cugliandolo Université Pierre et Marie Curie Sorbonne Universités Institut Universitaire de France leticia@lpthe.jussieu.fr www.lpthe.jussieu.fr/˜leticia

Work in collaboration with

  • D. Loi & S. Mossa (2007-2009) and
  • G. Gonnella, G.-L. Laghezza, A. Lamura, A. Mossa & A. Suma (2013-2015)

Kyoto, Japan, August 2015

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SLIDE 2

Motivation & goals

Active dumbbell system

  • Reason for working with this model
  • Main properties of the model - phase diagram
  • Translational and rotational collective motion
  • Dynamics of tracers in complex environments revisited.
  • Effective temperatures out of equilibrium
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SLIDE 3

Active dumbbell

Diatomic molecule - toy model for bacteria Escherichia coli - Pictures borrowed from internet.

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SLIDE 4

Bacteria colony

Active matter

Rabani, Ariel and Be’er 13

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SLIDE 5

Active dumbbells

Diatomic molecule

Two spherical atoms with diameter σd and mass md Massless spring modelled by a finite extensible non-linear elastic force bet- ween the atoms Ffene = −

kr 1 − r2/r2

with an additional repulsive contribution (WCA) to avoid colloidal overlapping. Polar active force along the main molecular axis Fact = Fact ˆ

n.

Purely repulsive interaction between colloids in different molecules. Langevin modelling of the interaction with the embedding fluid: isotropic viscous forces,−γvi, and independent noises, ηi, on the beads. Directional motion (active) and effective torque (noise)

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SLIDE 6

Active dumbbells

Control parameters

Number of dumbbells N and box volume S in two dimensions: packing fraction

φ = πσ2

d N

2S

Energy scales: Active force work Factσd thermal energy kBT Péclet number Pe = 2Factσd

kBT

Active force Factσd/γ viscous force γσ2

d/md

Reynolds number Re = mdFact

σdγ2

. We keep the parameters in the harmonic (fene) and Lennard-Jones (repulsive) potential fixed. Stiff molecule limit: vibrations frozen. We study the φ, Fact and kBT dependencies. Pe ∈ [0, 40], Re < 10−2

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SLIDE 7

Active dumbbells

Phase segregation Fixed packing fraction ϕ and fixed activity Fact, vary kBT

kBT = 0.01 kBT = 0.003 kBT = 0.001

Mixed Large density fluctuations Segregation

Pe = 2Factσd

kBT

increases →

Gonnella, Lamura & Suma 13

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SLIDE 8

Active dumbbells

Phase diagram : from the distribution of local dumbbell density

0.0 0.2 0.4 0.6 0.8 1.0 50 100 150 200

φ Pe

Mechanism for aggregation: note the head-tail alignment in the cluster.

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SLIDE 9

Active dumbbells

Phase diagram

0.0 0.2 0.4 0.6 0.8 1.0 50 100 150 200

φ Pe

Focus on the dynamics in the homogeneous phase ; vary φ and Pe.

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SLIDE 10

Single molecule limit

Active force switched-on, Fact ̸= 0

ballistic → diffusive → ballistic → diffusive

  • The dynamics is accelerated by Fact and a new ballistic regime in the centre-
  • f-mass translational motion appears at

t∗ = 16ta/Pe2

  • Ballistic to diffusive crossover of the cm motion at

ta = γσ2

d/(2kBT)

Note that ta → ∞ at kBT → 0.

  • The diffusion constant is

DA = kBT/(2γ) (1 + Pe2)

10−3 10−2 10−1 100 10−1 100 101 102 103 104

〈∆r2

cm〉/4t

t

tI ta

Pe=0 Pe=2 Pe=20 Pe=40

⟨[rcm(t + t0) − rcm(t0)]2⟩

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SLIDE 11

Single molecule limit

Active force switched on, Fact ̸= 0

  • The dynamics is accelerated by Fact and a new ballistic regime in the centre-
  • f-mass translational motion appears at

t∗ = 16ta/Pe2

  • Ballistic to diffusive crossover of the cm motion at

ta = γσ2

d/(2kBT)

Note that ta → ∞ at kBT → 0.

  • The rotational motion is not affected by the longitudinal active force.

10−3 10−2 10−1 100 10−1 100 101 102 103 104

〈∆r2

cm〉/4t

t

tI ta

Pe=0 Pe=2 Pe=20 Pe=40 10−3 10−2 10−1 10−2 10−1 100 101 102 103 104

〈∆θ2〉/2t t

tI ta

Pe=0 Pe=2 Pe=20 Pe=40

⟨[rcm(t + t0) − rcm(t0)]2⟩ ⟨[θ(t + t0) − θ(t0)]2⟩

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SLIDE 12

Finite density system

Centre-of-mass mean-square displacement

⟨∆r2

cm⟩ = ⟨[rcm(t + t0) − rcm(t0)]2⟩

10−5 10−4 10−3 10−2 10−1 10−3 10−2 10−1 100 101 102 103 104

〈∆r2

cm〉/4t

t

Pe=2

φ=0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 10−5 10−4 10−3 10−2 10−1 10−3 10−2 10−1 100 101 102 103 104

〈∆r2

cm〉/4t

t

Pe=40

φ=0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

tI ta t∗ tI t∗ ta

Pe and φ effect

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SLIDE 13

Finite density system

Angular mean-square displacement

⟨∆θ2⟩ = ⟨[θ(t + t0) − θ(t0)]2⟩

10−4 10−3 10−2 10−1 10−3 10−2 10−1 100 101 102 103 104

〈∆θ2〉/2t t

Pe=2

φ=0.1 0.2 0.3 0.4 0.5 0.6 0.7 10−4 10−3 10−2 10−3 10−2 10−1 100 101 102 103 104

〈∆θ2〉/2t t

Pe=40

φ=0.1 0.2 0.3 0.4 0.5 0.6 0.7

tI ta t∗ tI t∗ ta

Pe and φ effect

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SLIDE 14

Diffusion constants

⟨∆r2

cm⟩ ≃ 2dDAt

0.05 0.075 0.1 0.125 0.2 0.4 0.6

DA(Fact,T,φ)/kBT φ

Pe=4 Fact=0.1 T=0.05 Pe=4 Fact=0.5 T=0.25 Pe=4 Fact=1 T=0.5 a1=-0.76 a2=-0.41

2 4 6 8 0.2 0.4 0.6

DA(Fact,T,φ)/kBT φ

Pe=40 Fact=0.1 T=0.005 Pe=40 Fact=0.5 T=0.025 Pe=40 Fact=1 T=0.05 a1=-2.40 a2=1.66

DA kBT = fA(Pe, φ)

Translational diffusion diminishes at increasing density at all Pe increases at increasing Pe at fixed φ Proposals for φ, Pe dependence Similar to what observed for e.g., Janus particles in H2O2 Zheng et al 13

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SLIDE 15

Diffusion constants

⟨∆θ2⟩ ≃ 2DRt

0.2 0.4 0.6 0.2 0.4 0.6

DR(T,φ)/kBT φ

Pe=4 Fact=0.1 T=0.05 Pe=4 Fact=0.5 T=0.25 Pe=4 Fact=1 T=0.5

0.2 0.4 0.6 0.2 0.4 0.6

DR(T,φ)/kBT φ

Pe=40 Fact=0.1 T=0.005 Pe=40 Fact=0.5 T=0.025 Pe=40 Fact=1 T=0.05

DR kBT = fR(Pe, φ)

Rotational diffusion enhanced at increasing density for large Pe Incipient clusters

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SLIDE 16

Fluctuations

Translational motion in the active-force driven regimes

p(∆x) = p(xcm(t + t0) − xcm(t0))

10-5 10-4 10-3 10-2 10-1 100 101

  • 4
  • 3
  • 2
  • 1

1 2 3 4

σxP(∆x) ∆x/σx

Pe=40 20 4 2

10-6 10-5 10-4 10-3 10-2 10-1 100 101

  • 4
  • 3
  • 2
  • 1

1 2 3 4

σxP(∆x) ∆x/σx

Pe=40 20 4 2

t∗ < t < ta ta < t

10−5 10−4 10−3 10−2 10−1 10−3 10−2 10−1 100 101 102 103 104

〈∆r2

cm〉/4t

t

Pe=2

φ=0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 10−5 10−4 10−3 10−2 10−1 10−3 10−2 10−1 100 101 102 103 104

〈∆r2

cm〉/4t

t

Pe=40

φ=0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

ϕ = 0.1 σx = ⟨∆x2⟩1/2

Non-Gaussian at high Pe

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SLIDE 17

Fluctuations

Translational motion in the active-force driven regimes

p(∆x) = p(xcm(t + t0) − xcm(t0))

10-5 10-4 10-3 10-2 10-1 100 101

  • 4
  • 3
  • 2
  • 1

1 2 3 4

σxP(∆x) ∆x/σx

Pe=40 20 4 2

10-6 10-5 10-4 10-3 10-2 10-1 100 101

  • 4
  • 3
  • 2
  • 1

1 2 3 4

σxP(∆x) ∆x/σx

Pe=40 20 4 2

t∗ < t < ta ta < t

Janus particles in H2O2

Same double peak at high Pe Zheng et al. 13

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SLIDE 18

Fluctuations

Translational motion in the active-force driven regimes

p(∆x) = p(xcm(t + t0) − xcm(t0))

10-5 10-4 10-3 10-2 10-1 100 101

  • 4
  • 3
  • 2
  • 1

1 2 3 4

σxP(∆x) ∆x/σx

III

φ=0.01 0.1 0.3 0.5 0.7

10-5 10-4 10-3 10-2 10-1 100 101

  • 4
  • 3
  • 2
  • 1

1 2 3 4

σxP(∆x) ∆x/σx

IV

φ=0.01 0.1 0.3 0.5 0.7

t∗ < t < ta ta < t

10−5 10−4 10−3 10−2 10−1 10−3 10−2 10−1 100 101 102 103 104

〈∆r2

cm〉/4t

t

Pe=40

φ=0 0.1 0.2 0.3 0.4 0.5 0.6 0.7

Pe = 40

σx = ⟨∆x2⟩1/2

Non-Gaussian & exponentail tails in III

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SLIDE 19

Fluctuations

Translational motion in super-cooled liquids and granular matter

Gs(r) = N −1 ∑N

i=1⟨δ(r − |⃗

ri(t + t0) − ⃗ ri(t0)|)⟩

van Hove correlation function delay-time shorter than the structural relaxation time t < tα

σ = ⟨∆r2⟩1/2

Exponential tails Chaudhuri, Berthier & Kob 07

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SLIDE 20

Fluctuations

Rotational motion in the active-force driven regimes

p(∆θ) = p(θ(t + t0) − θ(t0))

10-5 10-4 10-3 10-2 10-1 100

  • 4
  • 2

2 4

σθP(∆θ) ∆θ/σθ

Pe=40 20 4 2

10-5 10-4 10-3 10-2 10-1 100

  • 4
  • 2

2 4

σθP(∆θ) ∆θ/σθ

Pe=40 20 4 2

t∗ < t < ta ta < t

10−4 10−3 10−2 10−1 10−3 10−2 10−1 100 101 102 103 104

〈∆θ2〉/2t t

Pe=2

φ=0.1 0.2 0.3 0.4 0.5 0.6 0.7 10−4 10−3 10−2 10−3 10−2 10−1 100 101 102 103 104

〈∆θ2〉/2t t

Pe=40

φ=0.1 0.2 0.3 0.4 0.5 0.6 0.7

ϕ = 0.1

Low density

σθ = ⟨∆θ2⟩1/2

Gaussian

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SLIDE 21

Fluctuations

Rotational motion in the active-force driven regimes

p(∆θ) = p(θ(t + t0) − θ(t0))

10-5 10-4 10-3 10-2 10-1 100

  • 4
  • 2

2 4

σθP(∆θ) ∆θ/σθ

III

φ=0.01 0.1 0.3 0.5 0.7

10-5 10-4 10-3 10-2 10-1 100

  • 4
  • 2

2 4

σθP(∆θ) ∆θ/σθ

IV

φ=0.01 0.1 0.3 0.5 0.7

t∗ < t < ta ta < t

10−4 10−3 10−2 10−3 10−2 10−1 100 101 102 103 104

〈∆θ2〉/2t t

Pe=40

φ=0.1 0.2 0.3 0.4 0.5 0.6 0.7

Pe = 40

σθ = ⟨∆θ2⟩1/2

Exponential tails for φ ≥ 0.7

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SLIDE 22

Active dumbbells

Phase diagram

  • cfr. Berthier 13 ; Berthier & Levis 14-15 for a different model system

& Suma et al. work in progress

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SLIDE 23

Active dumbbells

Diatomic molecule

Two spherical atoms with diameter σd and mass md Massless spring modelled by a finite extensible non-linear elastic force bet- ween the atoms Ffene = −

kr 1 − r2/r2

with an additional repulsive contribution (WCA) to avoid colloidal overlapping. Polar active force along the main molecular axis Fact = Fact ˆ

n.

Purely repulsive interaction between colloids in different molecules. Langevin modelling of the interaction with the embedding fluid: isotropic viscous forces,−γvi, and independent noises, ηi, on the beads. Directional motion (active) and effective torque (noise)

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SLIDE 24

Passive tracers

Spherical particles

Spherical particle with diameter σtr and mass mtr Very low tracer density φtr ≪ φ No polar active force Ftr

act = 0

Purely repulsive interaction between colloids in different molecules & tracers. Langevin modelling of the interaction with the embedding fluid: viscous forces,−γtrvtr

α , and independent noises, ηtr α , on the tracers.

We will distinguish thermal γtr ̸= 0 from athermal γtr = 0 tracers

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SLIDE 25

Active dumbbells

Spherical tracers to probe the dynamics of the “active bath"

Gonnella, Laghezza, Lamura, Mossa, Suma & LFC

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SLIDE 26

Passive tracer motion

Thermal vs. athermal

10−4 10−3 10−2 10−1 100 10−3 10−2 10−1 100 101 102 103

Pe=40 〈∆r2 〉/4t t

athermal tracer thermal tracer dumbbells Dtr(φ=0)=0.005

σd = σtr, md = mtr

thermal

γd = γtr, Td = Ttr

athermal

γtr = 0, Td = Ttr

Study of the dependence on mtr, ϕ, and other parameters

Suma, Gonnella & LFC in preparation

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SLIDE 27

Diffusivity enhancement

Active density dependence of the tracer’s diffusion constant

Wu & Libchaber 00 bacteria Leptos et al. 09 algae

Is this captured by this model (with no hydrodynamics) for some parame- ters ?

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SLIDE 28

Motivation & goals

Active dumbbell system

  • Model with persistent activity & segregation
  • Translational and rotational collective motion in the homogeneous phase

Four dynamic regimes even at finite φ

D/(kBT)’s in last diffusive regime depend on Pe, φ

Complex (though simpler than in just passive colloids, cfr. Tokuyama & Oppenheim 94) dependence of translational diffusion constant on φ Enhanced rotational diffusion constant for increasing φ < 0.5 More complex than Pe2 corrections at finite φ

  • Effective temperatures out of equilibrium.

w/ Gonnella, Laghezza, Lamura, Mossa & Suma via FDT In progress : potential and kinetic tracers coupled to the active dumbbells, always in homogenous phase

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SLIDE 29

(non persistent) Active polymers

Tracer’s velocities & effective temperature Spherical particles with mass mtr that interact with the active matter.

  • 8
  • 6
  • 4
  • 2

2 4 6 8

v mtr

1/2

10

  • 3

10

  • 2

10

  • 1

p(v) / mtr

1/2

10 30 50 100 300 1000 3000

10

1

10

2

10

3

10

4

10

5

10

6

mtr

1 2 3 4 5 6 7 8

Teff (mtr ) mtr a) b)

Maxwell pdf of tracers’ velocities v at an effective temperature Teff(mtr)

Loi, Mossa & LFC 07-09

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SLIDE 30

Work in progress

Passive Leannard-Jones system

T T b m tr m tr hv 2 z i 10 8 10 7 10 6 10 5 10 4 10 3 10 2 10 1 10 10 1 1 0.8 0.6 0.4 0.2

The kinetic energy of a tracer particle (the thermometer) as a function of its mass (τ0 ∝ √mtr)

1 2mtr⟨ v2 z⟩ = 1 2kBTeff.

J-L Barrat & Berthier 00

Same measurement in active dumbbell sample to compare with measu- rements of Teff from FDT.