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Jamming and hard spheres Ludovic Berthier Laboratoire Charles - - PowerPoint PPT Presentation

Jamming and hard spheres Ludovic Berthier Laboratoire Charles Coulomb Universit e de Montpellier 2 & CNRS Spin glasses Carg` ese, August 28, 2014 D4PARTICLES title p.1 Outline 1 - Introduction: What is jamming? 2 - Early


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SLIDE 1

Jamming and hard spheres

Ludovic Berthier Laboratoire Charles Coulomb Universit´ e de Montpellier 2 & CNRS

Spin glasses – Carg` ese, August 28, 2014

D4PARTICLES title – p.1

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SLIDE 2

Outline

1 - Introduction: What is jamming? 2 - Early results 3 - Statistical mechanics approach 4 - Glassy phase diagram 5 - Microstructure of jammed packings 6 - Vibrational dynamics 7 - Rheology

title – p.3

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SLIDE 3

I-Introduction: What is jamming?

title – p.4

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SLIDE 4

A T = 0 geometric transition

  • Athermal packing of soft repulsive spheres, e.g. V (r < σ) = (1 − r/σ)2.

j ϕ Fraction volumique Low ϕ: no overlap, fluid Large ϕ: overlaps, solid

  • Clearly useful for: non-Brownian suspensions (below), hard grains (at),

foams and emulsions of large droplets (above).

  • Since T = 0, this is a purely geometric problem, possibly a

nonequilibrium phase transition. A finite dimensional version of the ideal glass transition?

title – p.5

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SLIDE 5

I . 1 – Spin glass perspective

title – p.6

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SLIDE 6

Constraint satisfaction problem

  • Packing as a random constraint satisfaction problem → connection to

spin glasses: Pack hard objects with no overlap.

[Krzakala & Kurchan, PRE ’07]

  • A mean-field version of hard

sphere fluid: each particle in- teract with z (N − 1) neigh- bors.

  • Interactions

specified by quenched random graph.

  • Aim: Understanding jamming

within RFOT.

[Mari et al., PRL ’08]

  • This model can then be solved as other random constraint satisfaction

problems, e.g. cavity method.

[Mézard et al., JSTAT ’11]

(“This paper is meant to be read by specialists in the field, so we did not make much

attempt to explain...”)

title – p.7

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SLIDE 7

Connection to Giulio’s lecture

  • Evolution of free energy landscape in the context of q-coloring problem
  • n random graphs.

[Krzakala et al., PNAS ’07]

  • “Clustering”: Mode-coupling transition. Equilibrium relaxation time

diverges in mean-field.

  • “Condensation”: Ideal glass (Kauzmann) transition in finite d.
  • “Uncol”: No solution found which satisfies all constraints. This is a

jamming transition.

title – p.8

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SLIDE 8

I . 2 – Broader perspective

title – p.9

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SLIDE 9

Disordered solid states

  • Dense granular materials are disordered solids.
  • Atomic glasses (window glasses, plastics) are solid materials frozen in

an amorphous (non-crystalline, metastable) structure.

  • Two possible pictures: Force chains and geometry of contact network

versus complex energy landscape characteristic of disordered materials.

title – p.10

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SLIDE 10

Jamming rheology

  • Observed by compressing soft or hard macroscopic particles.
  • Example: hard grain suspension. ‘Diverging’ athermal viscosity η0(ϕ).

200µm

[Brown & Jaeger, PRL ’09]

  • Simple rheology:

no time scale competes with shear rate

η(ϕ, ˙ γ) = η0(ϕ) ∼ |ϕJ − ϕ|−∆.

[Boyer & Pouliquen, PRL ’10]

title – p.11

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SLIDE 11

More ‘jamming’ transitions

  • τ

τ Γ

τ

Γ

Vibrated grains [Philippe & Bideau, EPL ’02]

  • Dense assemblies of grains, (large)

colloids and bubbles stop flowing. Air fluidized granular bed

[Daniels et al., PRL ’12]

Sheared foam [Langer, Liu, EPL ’00]

title – p.12

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SLIDE 12

Athermal rheology of soft particles

  • Overdamped (T = 0) simulations of sheared harmonic spheres.

Diverging viscosity, emergence of yield stress. T = 0 glass transition?

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

etai etai etai etai etai etai etai etai etai etai etai etai etai etai etai fit2

inverse shear viscosity !"1 shear stress #

$=0.830 $=0.834 $=0.836 $=0.838 $=0.840 $=0.841 $=0.842 $=0.844 $=0.848 $=0.852 $=0.856 $=0.860 $=0.864 $=0.868 #=0.0012

10-2

[Olsson & Teitel, PRL ’07] [Paredes et al., PRL ’13]

  • Scaling law: η(ϕ, ˙

γ) = |ϕJ − ϕ|−∆F(˙ γ|ϕ − ϕJ|β). Theoretical basis?

  • Similar behaviour (and scaling laws?) observed in emulsion.

title – p.13

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SLIDE 13

Athermal rheology of soft particles

  • Overdamped (T = 0) simulations of sheared harmonic spheres.

Diverging viscosity, emergence of yield stress. T = 0 glass transition?

[Olsson & Teitel, PRL ’07] [Paredes et al., PRL ’13]

  • Scaling law: η(ϕ, ˙

γ) = |ϕJ − ϕ|−∆F(˙ γ|ϕ − ϕJ|β). Theoretical basis?

  • Similar behaviour (and scaling laws?) observed in emulsion.

title – p.14

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SLIDE 14

Bernal’s insight

“This theory treats liquids as homoge-

neous, coherent and irregular assem- blages of molecules containing no crys- talline regions or holes.”

  • Theory of liquids as a random

packing problem.

  • Experiments with grains, com-

puter simulation.

[J. D. Bernal, “A geometrical approach to the

structure of liquids”, Nature (1959)]

title – p.15

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SLIDE 15

Dynamics in colloidal hard spheres

  • Glass ‘transition’: Dramatic increase in viscosity when ϕ decreases.

[van Megen et al., PRE ’98]

  • Viscosity measurements diffi-

cult → light scattering.

  • τT = σ2/D0 ∼ 1 ms.
  • T value irrelevant, but T > 0 for

thermal equilibrium ̸= jamming?

  • Mode-Coupling Theory fit?

τα ∼ (ϕc − ϕ)−γ, ϕc ≈ 0.58.

  • ‘Free volume’ → 0 at ϕJ.

τα ≈ exp(P/T) ∼ exp(A/|ϕJ−ϕ|).

Jamming’s back!

  • No neat experimental answer from early work (’86 - ’05).

title – p.16

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SLIDE 16

Activated colloidal dynamics

  • Most recent set of light scat-

tering data to date.

  • Mode-coupling

prediction fails, no algebraic divergence at ϕc.

  • Best fit to ‘activated’ dynam-

ics:

τα ≈ exp(

A (ϕ0−ϕ)δ ), δ ≈ 2.

  • Simulations suggest ϕ0 dis-

tinct from jamming point, but relie on extrapolations.

[Brambilla et al., PRL ’09]

0.0 0.2 0.4 0.6

  • 4
  • 2

2 4

0.55 0.60 2 4

log(τα/τ0)

ϕ

log(τα/τ0)

ϕ

title – p.17

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SLIDE 17

Colloidal rheology

  • Non-linear rheological study: Transition from viscous fluid to yield stress

amorphous solid, in the presence of thermal fluctuations, non-linear rheology: η = η(ϕ, ˙

γ).

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

γτT . σa3/kBT

0.472 0.517 0.560 0.586 0.603 0.620

[Petekidis et al., JPCM ’04]

  • Linear viscosity: ηT (ϕ) = η(˙

γ → 0, ϕ). Similar to ηo(ϕ) for non-Brownian

suspensions, or activated dynamics as found for τα??

title – p.18

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SLIDE 18

The glass ‘transition’

  • Many molecular materials

become glasses at low tem- perature.

Temperature Energy Tk Tg Glass Ideal glass

DEC B2O3 PC SAL OTP GLY LJ BKS

Simulation Fragile Strong Tg/T τα/τ0 1 0.9 0.8 0.7 0.6 0.5 102 106 1010 1014

  • Glass ≡ liquid “too viscous” to flow. Glass formation is a gradual process

with activated dynamics (not algebraic) in thermal equilibrium.

  • ‘Ideal’ glass transition at equilibrium? Jamming point for molecules?
  • Existence of many metastable states: glasses are many-body “complex”

systems, due to disorder and geometric frustration.

title – p.19

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SLIDE 19

Molecular glassy liquids rheology

  • Flow curves at finite shear rate ˙

γ in simple shear flow: σ = σ(˙ γ) = η(˙ γ)˙ γ,

in binary LJ mixture.

  • Transition from viscous fluid to solid material (finite yield stress), with

non-linear behaviour (shear-thinning).

[Berthier & Barrat JCP ’01]

  • Rheological behaviour (again) very similar to colloidal hard spheres and

non-Brownian soft particles. Viscosity shows activated dynamics.

title – p.20

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SLIDE 20

Jamming phase diagram

  • Suggested by similarity of rheological behaviour observed in

non-Brownian & Brownian suspensions, and molecular liquids.

J

[Liu & Nagel, Nature ’98 - cited 846] [Trappe et al., Nature ’01 - cited 398]

  • Has given rise to a whole field of ‘jamming’ studies, many experimental

measurements in connection to jamming phase diagram.

title – p.21

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SLIDE 21

II-Early results

title – p.22

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SLIDE 22

Harmonic spheres

  • “Bubble model” introduced by Durian in ’95 to study wet foams:

V (r < σ) = (1 − r/σ)2. Can be used to explore the complete (T, ϕ, σ)

“jamming phase diagram” at once.

  • Two ways of going athermal, /T → ∞.

(i) T = const. and → ∞: Brownian hard spheres (e.g. colloids). (ii) = const., T → 0: athermal soft suspensions (e.g. foams), equivalent to hard spheres below jamming.

  • For thermal systems, T/ quantifies the particle softness: large T/ =

soft particles. Useful for emulsions, microgels, simple liquids.

title – p.23

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SLIDE 23

Durian’s bubble model: ’95

Φ

[Durian, PRL ’95]

  • Nice early work:

[Bolton & Weaire, PRL 65, 3449 (1990)]

  • Durian: Rheological study at T = 0 us-

ing computer simulations.

  • Transition from fluid to solid behaviour

at ϕJ with scaling properties.

  • Scaling laws for emergence of shear

modulus G, packing pressure P and number of contacts per particle z at crit- ical density ϕJ.

title – p.24

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SLIDE 24

Point J: ’02

  • J-point from random packing proper-

ties of soft repulsive particles at T = 0.

[O’Hern et al. PRL ’02, PRE ’03]

  • Scaling laws and structure of pack-

ings near jamming [vanHecke JPCM’10] Energy: E = 0 for ϕ < ϕJ; E ∼ (ϕ−ϕJ)α for ϕ > ϕJ. Contact number: z = 0 → z = zc +a(ϕ−

ϕJ)1/2 with zc = 2d: isostaticity.

  • Major numerical and experimental ef-

fort over the last decade; considered as a new nonequilibrium phase transition with relevant physical consequences.

  • 5
  • 4
  • 3
  • 2

log(φ- φc)

  • 3
  • 2
  • 1

log(Z-Z c)

  • 6
  • 4
  • 2

logG

  • 8
  • 6
  • 4
  • 2

logp

α=2 α=5/2 α=2 α=5/2 3D 2D (a) (b) (c)

J

Unjammed Jammed

T 1/φ σ

title – p.25

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SLIDE 25

Density of states

  • Density of state above jamming

transition reveals the presence of ‘soft modes’, with ω⋆ ∼ (ϕ − ϕJ)1/2.

  • Deep link with isostaticity:

z → zc = 2d.

  • z

= zc:

each particle has just enough contacts to maintain me- chanical stability (i.e. Nc ≡ zcN/2 =

Nd).

  • Isostatic packings have flat density of states; compressed packings are

flat down to ω⋆ ∼ (z − zc) ∼ (ϕ − ϕJ)1/2.

[Wyart et al., EPL ’05]

  • Marginally stable solids: abundance of soft modes. Counting arguments
  • f soft modes using isostaticity yields the above scaling relations,
  • bserved in simulations. Challenge for theory: predicting isostaticity.

title – p.26

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SLIDE 26

Structure of packings

[Courtesy O. Dauchot]

title – p.27

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SLIDE 27

Structure of packings

Fluide Empilement compact r/σ g(r) 4 3 2 1 8 6 4 2

  • Pair correlation function:

g(r) = (ρN)−1

ij δ(r−|ri−rj|) and

structure factor S(q) quantify two- point density correlation functions.

  • Multiple singularities revealed by

g(r) analysis. The “structure” is not

boring!

  • Physics near contact r ∼ σ is cru-

cial and reveals 3 different power laws–described later.

  • Suppressed density fluctuations

at large scale:

S(q) ∼ q

at low q. ‘Hyperuniform’ state with

V ⟨δϕ2⟩V → 0. [Donev et al., PRL ’05]

title – p.28

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SLIDE 28

III-Statistical mechanics approach

title – p.29

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SLIDE 29

Geometric problem

j ϕ Fraction volumique

  • Equilibrium statistical mechanics approach to jamming transition:

Introduce a Hamiltonian penalizing overlaps (e.g. harmonic spheres) and a temperature T.

  • Take the T → 0 limit of the constructed (T, ϕ) phase diagram.

title – p.30

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SLIDE 30

Start with the fluid

  • Consider the fluid, V (r) = (1 − r)2, at equilibrium at (T > 0, ϕ).
  • Liquid state theory: solves the structure, g(r), thus the thermodynamics

using integral equations. We use (for instance) HNC.

ϕ=1.2 ϕ=0.2 [Jacquin & Berthier, Soft Matter ’10]

  • e(T, ϕ) ∼ T 3/2.
  • Pressure is finite at T = 0

and continuous function of ϕ.

  • No jamming (or glass) tran-

sition.

  • Liquid state theory is es-

sentially blind to relevant phase transitions. Useful?

title – p.31

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SLIDE 31

Nonmonotonic structure

  • Anomalous structural evolution at constant T = 1.2 · 10−3. The system
  • rders, ϕ = 0.55 → 0.78, then disorders ϕ = 0.78 → 0.96.

T = 1.20 · 10−3 Compress r g(r) 1.4 1.2 1 0.8 8 6 4 2

  • F = E − TS: Avoiding overlaps to reduce energy becomes difficult

(entropically disfavoured) at large ϕ. Solution: increase overlap using particle softness (lose energy) to make space and gain entropy.

  • Smooth version of jamming (‘thermal vestige’) arising at equilibrium.

title – p.32

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SLIDE 32

Structure of soft colloids

[Zhang et al., Nature ’09]

  • The structural anomaly seen in jammed colloids is naturally explained by

equilibrium concepts—in fact seen in many ultrasoft materials.

title – p.33

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SLIDE 33

Why liquid state theory fails

  • Numerical phase diagram of soft harmonic spheres

[Berthier & Witten, EPL, PRE ’09]

Super-Arrhenius Scaling VFT MCT

ϕ T 0.95 0.9 0.85 0.8 0.75 0.7 0.65 0.6 0.55 10−2 10−4 10−6

  • Glassy ‘phase’ is found. Glasses jam, fluids do not.
  • Statmech needs to first handle the complexity of the glass phase before

addressing the jamming transition.

title – p.34

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SLIDE 34

IV-Glassy phase diagram

title – p.35

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SLIDE 35

Statistical mechanics of glasses

  • Assuming exponential number of metastable states exists:

f(T) = − T V log

  • d

f ′ exp

  • −Nf ′

T + Nsconf(f ′, T)

  • .
  • Replicas are then introduced to ‘recognize’ multiple amorphous

metastable states.

  • Physical idea: −Tsconf represents the free energy cost of ‘forcing’ two

replicas within the same state.

[cf all lectures on Tuesday]

  • In practice, take m replica(s) and minimize the replicated free energy.

[Monasson, PRL ’95]

f(m, T) = − T V log

  • d

f ′ exp

  • −Nf ′m

T + Nsconf(f ′, T)

  • .
  • In the ‘ideal’ glass: sconf(T ≤ TK) = 0 and fglass = f(m⋆(T), T)/m⋆(T),

with m⋆(T) < 1 [Mézard & Parisi, PRL ’99]. One-step replica symmetry breaking.

title – p.36

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SLIDE 36

Replicated liquid state theory

  • Liquid state theory of replicated liquid.
  • Mézard-Parisi’s ‘small cage’ (harmonic) ex-

pansion breaks down near jamming.

  • Zamponi-Parisi ‘small (but hard) cage’ ap-

proximation is correct for hard spheres.

[Zamponi & Parisi, RMP ’10].

V

eff

A

  • An effective potential valid for both hard spheres (T → 0 small ϕ) and

soft glasses (T → 0 large ϕ)

[Jacquin et al., PRL ’11].

f(m, A, ϕ, T) = fharm(m, A) + fliquid(ϕ, T/m) − ρ 2

  • drg(r)[e−β(Veff(r)−mV (r)) − 1]
  • Low-T approximation to treat analytically the glass & jamming transitions
  • f harmonic spheres.

title – p.37

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SLIDE 37

The ‘ideal’ glass transition

  • High T fluid: m = 1, sconf(T) > 0 and simple liquid theory is enough.
  • sconf(T) vanishes at TK(ϕ) > 0 for ϕ > ϕK ≡ hard sphere glass transition.

small cage new approximation

TK ∼ (ϕ − ϕK)2 ϕK ≈ 0.577 ϕ TK 0.75 0.7 0.65 0.6 0.55 10−8 10−6 10−4 10−2

FLUID GLASS

  • Low-T scaling: TK ∼ (ϕ − ϕK)2 (robust scaling) with ϕK ≈ 0.577 (value

depends on specific approx). Correct phase diagram.

title – p.38

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SLIDE 38

The ‘ideal’ jamming transition

  • Glass thermodynamics: energy, pressure, specific heat, fragility...
  • Jamming at T = 0 ⇔ Change in ground state glass properties.
  • ϕGCP = 0.633353... such that:

EGS = 0 below, EGS ≃ a(ϕ − ϕGCP )2 above.

  • Glass Close Packing: densest

T = 0 glass with no overlap.

[Zamponi & Parisi, RMP ’10]

  • PGS ∼ (ϕ − ϕGCP ).

JAMMED UNJAMMED GLASS FLUID

ϕ egs TK 3.10−3 2.10−3 1.10−3 0.72 0.68 0.64 0.6 0.56 1.10−4 5.10−5

  • Existence, location(s), and scaling laws of jamming from ‘first principles’.

title – p.39

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SLIDE 39

Constraint satisfaction problem

  • Similar phase diagram for Potts glass model on random graphs,
  • btained using the cavity method (q-coloring problem as T → 0).

[Krzakala & Zdeborova, EPL ’08]

title – p.40

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SLIDE 40

Locating the jamming transition

  • Glass Close Packing buried deep in-

side glass phase.

  • Locating it means solving a very hard

computational problem.

JAMMED UNJAMMED GLASS FLUID

ϕ egs TK 3.10−3 2.10−3 1.10−3 0.72 0.68 0.64 0.6 0.56 1.10−4 5.10−5

  • A standard algorithm will fall out of equilibrium before reaching glass

transition and be trapped in one of many metastable state.

  • Chosen state is followed down to T = 0, jams at ϕ < ϕGCP .
  • Measured location of jamming point is therefore strongly

algorithm-dependent. Point J is one of the ‘worst’!

title – p.41

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SLIDE 41

Numerical evidence: ‘J-line’

  • Rapid compressions of hard sphere fluid configurations, starting from

various packing fractions reveals continuous range of jamming densities:

J-point → J-line.

  • The normalized pressure, Z = P/(ρkBT), diverges when ϕ → ϕJ.

BMCSL Glass (soft) Glass (hard)

  • Equil. (soft)
  • Equil. (hard)

ϕrcp ϕ0 ϕc ϕonset ϕ Z(ϕ) 65 60 55 50 45 1000 100 10

0.64 0.65 0.66 0.67

φ

10

  • 16

10

  • 12

10

  • 8

e

(b) [Chaudhuri et al., PRL ’11]

  • Location of jamming transition is not uniquely defined but its physical &

scaling properties seem ‘universal’, i.e. shared by all packings.

title – p.42

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SLIDE 42

Gardner transition

  • Problems of 1-RSB solution revealed by comparison to numerical work.
  • Suggests that 1-RSB might be inconsistent... full RSB needed below the

Gardner transition. Hard sphere limit has been treated in d = ∞.

[cf. P . Urbani, this afternoon] [Kurchan, Zamponi, Parisi, Urbani, Charbonneau... ’13-’14]

title – p.43

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SLIDE 43

V-Microstructure of jammed packings

title – p.44

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SLIDE 44

Thermodynamic properties

10−10 10−9 10−8 10−7 10−6 T = 10−5 δϕ 1/p(T, ϕ) 0.015 0.01 0.005

  • 0.005
  • 0.01
  • 0.015

10−2 10−4 10−6 10−8 10−10 10−9 10−8 10−7 10−6 T = 10−5 Uglass(T, ϕ) 10−6 10−8 10−10 10−12 (a) (b)

  • Emergence of T = 0 discontinu-

ity as T → 0 in harmonic spheres.

  • Scaling laws for several proper-

ties are predicted within 1-RSB so- lution.

  • U(T, ϕ) = TFU( |ϕ−ϕJ|

√ T

), P = √ TFP ( |ϕ−ϕJ|

√ T

).

  • Natural

matching between jammed and unjammed regions.

[Berthier, Jacquin, Zamponi, PRE ’11]

title – p.45

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SLIDE 45

Nonmonotonic glass structure

  • Evolution of maximum of g(r) at low T has been measured numerically.

0.62 0.625 0.63 0.635 0.64 0.645

ϕ

100 1000

gG

max

T=10

  • 5

T=10

  • 6

T=10

  • 7

T=10

  • 8

T=0 HS T=0 SS

[Zhang et al. Nature ’09]

  • g(r) near contact is quite well described–other distances are harder to

treat...

title – p.46

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SLIDE 46

T = 0 pair correlation

  • Predictions for g(r) near contact at all (T, ϕ).
  • g(r) ≈ zcδ(r − 1) at (T = 0, ϕ = ϕGCP) with zc = 6: isostaticity is predicted.
  • Asymmetric scaling: g(r) ≈ |δϕ|−1F±

r − 1

|δϕ|

  • at (T = 0, ϕ = ϕGCP ± δϕ).

(r − 1)/δϕ g(r) × δϕ 0.5

  • 0.5
  • 1
  • 1.5

2 1.5 1 0.5

  • T = 0: Critical version of fluid ‘anomaly’. Occurs for the same physical,

‘equilibrium’, reason (energy/entropy competition).

title – p.47

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SLIDE 47

Low temperature structure

  • 1-RSB theory seems correct on hard sphere side, ϕ < ϕJ.

10−11 10−10 10−9 10−8 Theory, T = 10−7 10−11 10−10 10−9 10−8 Numerics, T = 10−7 δϕ = −0.00075 - Th = 0 r g(r) 1.0012 1.0008 1.0004 1 0.9996 0.9992 1200 800 400

title – p.48

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SLIDE 48

Low temperature structure

  • OK above jamming if T < Th(ϕ) ∼ (ϕ − ϕJ)2: Limit of 1-RSB validity?

10−8 10−7 Theory, T = 10−6 10−9 10−8 10−7 Numerics, T = 10−6

δϕ = 0.0021 - Th = 10−8 r 1.002 1 0.998 400 200

10−9 3.10−9 10−8 Theory, T = 10−7 10−10 10−9 10−8 Numerics, T = 10−7

δϕ = 0.0011 - Th = 3.10−9 r g(r) 1.0004 1.0002 1 0.9998 0.9996 800 400

10−10 5.10−10 10−9 10−8 Theory, 10−7 10−10 10−9 10−8 Numerics, T = 10−7

δϕ = 0.00071 - Th = 5.10−10 r 1.0004 1 0.9996 0.9992 1200 600

10−11 10−10 10−9 10−8 Theory, T = 10−7 10−11 10−10 10−9 10−8 Numerics, T = 10−7

δϕ = 0.00036 - Th = 10−10 r g(r) 1.0002 1 0.9998 0.9996 2500 1000 (d) (c) (a) (b)

title – p.49

slide-49
SLIDE 49

1-RSB biggest failure

  • z(ϕ, T) = ρ

1

dr4πr2g(r) is the number of contacts.

  • z(ϕ > ϕGCP , T = 0) ≈ zc + c(ϕ − ϕGCP )α with incorrect exponent α = 1.
  • Large number of ‘near contacts’ below ϕGCP at T = 0 is missed by

1-RSB effective potential approach.

0.62 0.625 0.63 0.635 0.64 0.645

ϕ

1 2 3 4 5 6 7 8 9 10

z T=10

  • 5

T=10

  • 6

T=10

  • 7

T=10

  • 8

T=0

T = 0 T = 10−4, · · · 10−8

ϕ z(T, ϕ) 0.7 0.69 0.68 0.67 0.66 0.65 8 6 4 2

  • This failure is fully cured by the full RSB solution.

title – p.50

slide-50
SLIDE 50

Final (?) results–this afternoon

[Charbonneau et al., PRL ’12]

  • z(r) = ρ r

0 4πr2g(r)dr

  • Power law approach to isostatic

plateau, corresponds to weak inter- particle forces, P(f ⟨f⟩) ∼ f θ.

  • Abundance of near contact, g(r) ∼

(r − 1)−γ.

  • Non-trivial full-RSB d = ∞ predic-

tions for θ = 0.42311 and γ = 0.41269

[cf P . Urbani]

  • Non-trivial scaling relations from

stability requirements [cf M. Wyart]

  • Precise numerical measurements

in many d [cf P

. Charbonneau]

title – p.51

slide-51
SLIDE 51

VI-Vibrational Dynamics

title – p.52

slide-52
SLIDE 52

Vibrational dynamics in glass

  • First step towards dynamics: mean-squared displacements at finite T.

[Ikeda, Berthier, Biroli, JCP’13]

ϕ > ϕj ϕ < ϕj

ϕ

Ballistic kBT t2 ϕ ~ ϕj ϕ > ϕj ϕ < ϕj

ϕ

ϕ ~ ϕj

T = 10−8

  • Ballistic time: τ0 ∼ |ϕ − ϕJ|/

√ T for ϕ < ϕJ, τ0 ∼ const. for ϕ > ϕJ.

  • “Anomalous” timescale to reach plateau: t⋆ ∼ 2π

ω⋆ , where ω⋆ is the

frequency of soft modes if harmonic approximation works.

title – p.53

slide-53
SLIDE 53

Anomalous vibrational dynamics

ϕ > ϕj ϕ < ϕj

ϕ

Ballistic kBT t2 ϕ ~ ϕj

  • Amplitude of vibration much larger

than naive guess ℓ2

0 = Tτ 2 0 .

  • Non-trivial

power law scaling:

∆2(∞) ∼ (ϕJ − ϕ)κ with κ ∼ 1.5.

[Brito & Wyart, JCP ’09]

  • κ = 1.41574 directly predicted from

full RSB d = ∞ hard sphere.

[Charbonneau et al., JSTAT ’14]

  • Density of states and MSD related

to P(f) and θ via scaling arguments.

[DeGiuli et al., arxiv:1402.3834]

title – p.54

slide-54
SLIDE 54

Dynamic criticality near jamming

  • Diverging (rescaled) timescale:

τ = t⋆ τ0 ∼ |ϕ − ϕJ|−1/2.

  • Diverging dynamic susceptibility:

χ4 ∼ |ϕ − ϕJ|−1/2.

  • Diverging

dynamic correlation length: ξ4 ∼ |ϕ − ϕJ|−1/4.

  • Time and length scales associ-

ated to anomalous vibrational mo- tion diverge near jamming.

  • Criticality observed if T is very

low (particles not too soft), and very near ϕJ.

ϕ ϕ

∞ |ϕ - ϕj| -0..5

ϕ

0.630 0.653 0.700 0.642 0.649 ϕ = ϕ = ϕ = ϕ = ϕ =

title – p.55

slide-55
SLIDE 55

Connection to experiments?

  • Many experiments have measured “soft modes” (hard spheres,

microgels, grains...).

  • What is the extension of the critical regime?
  • When does the harmonic approximation work?

[cf O. Dauchot’s lecture]

Anharmonic

PNIPAM (Chen et al.) PMMA (Ghosh et al.) PNIPAM (Caswell et al.)

ϕ

Unjammed harmonic Jammed harmonic

Sc Scaling regime regime

ϕj

title – p.56

slide-56
SLIDE 56

Critical motion in grains

[O. Dauchot]

title – p.57

slide-57
SLIDE 57

VII-Rheology

title – p.58

slide-58
SLIDE 58

Revisit jamming phase diagram

  • Aim: Study the full (σ, T, ϕ) phase diagram of harmonic spheres.
  • Langevin dynamics with shear and thermostat in d = 3:

ξ(dri dt − ˙ γyiex) = −

  • j

dV (|ri − rj|) dri + ηi,

with ⟨ηi(t)ηj(t′)⟩ = 2kBTξ1δ(t − t′).

  • Two important microscopic timescales:

(i) dissipation: τ0 = ξa2/ = 1, our time unit. (ii) thermal time: τT = ξa2/(kBT) → ∞ when T → 0. Pe ≡ ˙

γτT (Peclet).

  • Two stress scales: σT = kBT/a3 (entropy / thermal),

σ0 = /a3 (energy / athermal).

  • Study both finite and zero temperatures, both thermal (Pe < 1) and

athermal (Pe > 1) rheologies at once.

[Ikeda et al., PRL ’12]

title – p.59

slide-59
SLIDE 59

Flow curves

  • Steady state rheology at T = 10−4, T = 10−6, and T = 0.
  • From glass to jamming rheology, with interesting crossover.
  • Two types of Newtonian regimes, depending on the Péclet number and

particle softness.

  • Striking similarity between glass & jamming flow curves.

title – p.60

slide-60
SLIDE 60

Viscosity & yield stress

10-8 10-7 10-6 10-5 10-4 10-3 10-2 0.58 0.6 0.62 0.64 0.66 0.68 0.7 (i) (ii) (iii)

σa3/ε φ

10-5 10-6 10-7 kBT/ε = 10-4

  • ηT (T > 0) does not converge to η0(T = 0) when T → 0. These are

distinct divergences at distinct densities with distinct physics.

  • Solidity (yield stress) emerges at the glass transition at any T > 0, and

jamming transition seen in density dependence of σY .

title – p.61

slide-61
SLIDE 61

‘Jamming phase diagram’

title – p.62

slide-62
SLIDE 62

Non-Brownian hard spheres

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

J(0,∞)-

(P0, N) (10-4,500) (10-4,1000) (10-5,1000) (10-5,3000) (10-4,10000) (3*10

  • 5,10000)

(10-5,10000)

1/ b

(1-bb [T. Kawasaki]

  • Nature of viscosity divergence

at T = 0?

  • Simulations

suggest genuine power law divergence (i.e. no crossover to some activated dy- namics).

  • Analogy with (nearly isostatic)

elastic network relates viscosity to structure. (cf Wyart this after- noon.) [Lerner et al. ’11]

  • Structure of sheared suspen-

sions seems difficult to analyse from first principles.

title – p.63

slide-63
SLIDE 63

Conclusion

j ϕ Fraction volumique

  • Nature of jamming transition has been greatly clarified over recent years,

salient features identified, consequences and generalisations explored.

  • Remarkable success of replica approach... in d = ∞.
  • Remarkably compatible with geometrical approach using marginal

stability and isostaticity.

title – p.64