Features of JammingFeatures of Jamminginin
Frictionless & Frictional PackingsFrictionless & Frictional Packings
Leo SilbertDepartment of Physics
Wednesday 3rd September 2008
JAMMEDJAMMED UNJAMMEDUNJAMMED
What Is Jamming?What Is Jamming?
Jamming is the transition between solid-like and fluid-like phases in disordered systems
Many macroscopic and microscopic complex phenomena associated with jammed states and the transition to the unjammed phase
Similarities…Similarities…
Supercooled liquids and glasses
Dense dispersions: colloids, foams, emulsions
Cessation of granular flows
Mechanical properties of sand piles, polymeric networks, cells…
Fluffy Static Packings
Supercooled Liquids[Glotzer ]
Foams[Durian]
Grain Piles
Colloidal Suspensions[Weeks] Emulsions
[Brujic et al.]
Sphere Packings
Back To Basics
What is the simplest system through which we can gain insight and develop our understanding of this range of phenomena?
How to Study Jamming?How to Study Jamming?
Why Does Granular Matter?Why Does Granular Matter?
Frictional & Inelastic rolling/sliding contacts dissipative interactions on the grain “miscroscopic” scale
Non-thermal and far from thermodynamic equilibrium static packings are metastable states
Paradigm for non-equilibrium states similarities with other amorphous materials
Granular PhenomenaGranular PhenomenaGranular materials are ubiquitous throughout
nature
Natural phenomena
Natural disasters
avalanche.org bbc.co.uk
large-scale geological features
failure & flows
Granular phenomena persist at the forefront of many-body physics research demanding new concepts applicable to a range of systems far from equilibrium
Grain PilesGrain Piles
Duke Group
Chicago Group
Contact forces are highly
heterogeneous
– “force chains”
Distribution of forces
– wide distribution
– exponential at large
forces
Jamming Transition in Static Jamming Transition in Static PackingsPackings
Take a packing of spheres and jam them together
Slowly release the confining pressure by decreasing the packing fraction
Study how the system evolves
At a ‘critical’ packing fraction φc the packing unjams
The properties of the packing are determined by the distance to the jamming transition:
Δφ = φ - φc
Jamming of Soft SpheresJamming of Soft Spheres Monodisperse, frictionless, soft spheres :
finite range, repulsive, potential: V(r) = V0 (1-r/d)2 r < d
0 otherwise
Transition between jammed and unjammed phases at critical packing fraction φc
Frictionless Spheres: critical packing fraction coincides with value of random
close packing, φc ≈ 0.64 in 3D (≈ 0.84 2D) packings are isostatic at the jamming transition,
coordination number zc = 6 in 3D (= 4 in 2D)Durian, Phys. Rev. Lett. 75, 4780 (1995) Makse & co-workers, Phys. Rev. Lett. 84, 4160 (2000) ; Phys. Rev. E 72, 011301 (2005);
Nature 453, 629 (2008)O’Hern et.al, Phys. Rev. Lett. 88, 075507 (2002); Phys. Rev. E 68, 011306 (2003)Kasahara & Nakanishi, Phys. Rev. E 70, 051309 (2004) van Hecke and co-workers, Phys. Rev. Lett. 97, 258001 (2006); Phys. Rev. E 75, 010301
(2007); 75, 020301 (2007)Agnolin & Roux, Phys. Rev. E, 76 061302-4 (2007)
Static Packings Under PressureStatic Packings Under Pressure
Force distributions and pressure– Packing becomes more ‘uniform’
with increasing pressure– Exponential to Gaussian crossover
with increasing pressure
Compressed Frictionless Spheres (no gravity)
Very compressed: high P, φ>>φc
Weakly compressed: low P, φ≈φc
Makse & co-workers, Phys. Rev. Lett. 84, 4160 (2000) Silbert et al., Phys. Rev. E 73, 041304 (2006)
Δφ->0
Vibrational Density of StatesVibrational Density of States
Debye
isostatic
Characteristic feature in D(ω) signals onset of jamming
“boson peak”
D(ω) ~ constant at low ωPeak shifts to lower ω
Packing become increasingly soft
Silbert et al. Phys. Rev. Lett. 95, 098301 (2005)
Jamming transition accompanied by a diverging boson peak Two length scales characterize dynamical modes
L (longitudinal correlation length)
T (transversal correlation length)
Jamming and the Boson PeakJamming and the Boson Peak
modes) transverseξω
modes) allongitudinξω2
TB
1LB
(
(
kβkcω LL 2
TT kαkcω
Adding the Debye contribution:
The dispersion relations read:
kcωD
Jamming Jamming Critical Phenomena ? Critical Phenomena ?
Some quantities behave like order parameters e.g. excess coordination number statistical field theory approach [Henkes & Chakraborty]
Correlation Lengths Characterizing the Transition Wyart et al: length scales characterizing rigidity of the
jammed network Schwarz et al: percolation models and length scales Dynamic Length Scales on unjammed side
Drocco et al. Phys. Rev. Lett. 95, 088001 (2005)
How do we identify length scales in static packings?
Low-k Behaviour of S(k) Low-k Behaviour of S(k) in in
Jammed Hard & Soft SpheresJammed Hard & Soft Spheres
Hard Spheres: Recent Molecular Dynamics (MD) has shown low-k behaviour of S(k) in a jammed system of hard spheres is linear, namely, S(k) k
Note:- systems of N > 104 needed to resolve low-k region Donev et al. used 105-106 particles, φ-≈0.64 S(k) = 1/N<ρ(k)ρ(-k)>
Hard SpheresHard Spheres
Structure factor for a jammed N=106; φ=0.642, and for a hard sphere liquid near the freezing point, φ=0.49, as obtained numerically and via PY theory
Donev et.al. Phys. Rev. Lett. 95 090604 (2005)
Soft Sphere LiquidSoft Sphere Liquid T > 0
Expected behaviour in the liquid state
Jammed Soft Sphere PackingsJammed Soft Sphere Packings
In jammed packings: S(k) ~ k, near jamming
Transition to linear behaviourObserved using N=256000, at φ+≈0.64
T = 0
PhenomenologyPhenomenology Second moment of dynamical
structure factor…
Conjecture: assume the dominant collective mode is given by dispersion relation ωB(k). Then…
…and
Assuming…
at small k; then in the long wavelength limit…
transverse modes contribute to linear behaviour of S(k).
220
2 kνω,kSωωd
kωωδS(k)ω,kS B
k2ωk
νkS 2B
220
...kakckω 2B
22
0 kOkca
212cv
kS
[Silbert & Silbert (2008)]
Linear behaviour in S(k) and the excess density of states are two sides of the same coin
Suggest length scale where crossover to linear behaviour occurs
Does this feature survive for polydispersity and 2D? Does this feature survive with LJ interactions Can we see this in real glasses? Can we see this in s/cooled liquids where BP survives into liquid phase?
S(k) as a Signature of JammingS(k) as a Signature of Jamming
Effect of Friction on S(k)Effect of Friction on S(k) T = 0
At the same φ low-k behaviour different
φ≈0.64
Comparison Between Comparison Between Frictionless & Frictional PackingsFrictionless & Frictional Packings
Frictional Stable over wide range
of packing fractions– 0.55 < φ < 0.64
Random Loose Packing– φRLP ≈ 0.55 – [Onada & Liniger, PRL 1990]– [Schroter et al. Phys. Rev. Lett.
101, 018301 (2008)]
Are frictional packings isostatic?– z(μ>0)iso = D+1
Frictionless Random Close Packing
– φRCP ≈ 0.64 – [Bernal, Scott, 1960’s]
Jamming transition is RCP
Frictionless packings at RCP are isostatic– z(μ=0)iso = 2D
Abate & Durian, Phys. Rev. E 74, 031308 (2006)Behringer & co-workers, Phys. Rev. Lett. 98, 058001 (2007)
Follow similar protocol used for frictionless studies– N=1024 monodisperse soft-spheres: d = 1– particle-particle contacts defined by overlap
Linear-spring dashpot model:-– stiffness: kn = kt = 1 => = 0– fn = kn(d-r) for r<d, fn= 0 for r>d– ft = ktΔs for μ>0– static friction tracks history of contacts
All μ: start from same initial φi=0.65– incrementally decrease φ towards jamming
threshold– quench after each step
Jamming ProtocolJamming Protocol
zc
Jamming of Jamming of FrictionalFrictional Spheres Spheres
Identify jamming transition φc
– φcc=φ(p=0) Fit to:
– p~(φ-φc) Find zc:
– (z-zc) ~ (φ-φc)0.5
Extract: – φc(μ) & zc(μ)
φc
μ
φc & zc decrease smoothly with friction
Random Loose Packing φRLP, emerges as high-μ limit of isostatic frictional packing
Scaling of Scaling of FrictionalFrictional Spheres Spheres
Δφ(μ)=φ-φc(μ)
p~(φ-φc)
Δφ(μ): measures distance to jamming transition
Δz~(φ-φc)1/2
Scaling Scaling withwith Friction Friction
μ
(φcμ=0-φc
μ>0) ~ μ0.5 (zcμ=0-zc
μ>0) ~ μ0.5
z cμ
=0-z
cμ>
0
φcμ
=0-φ
cμ>
0
Frictional thresholds exhibit power law behaviour relative to frictionless packing
μ
StructureStructure
φ=0.64 Δφ=10-4
r-d r-d
How different are packings with different μ?
Packings ‘look’ the same at the same Δφ, but not at same φ
g(r) μ increasing
Second Peak in g(r)Second Peak in g(r)
T = 0
Universal Jamming DiagramUniversal Jamming Diagram
Makse and co-workers, arXiv:0808.2196v1, Nature 453, 629 (2008)
Frictional & Frictionless PackingsFrictional & Frictionless Packings
Random Close Packing is indentified with zero-friction isostatic state
Random Loose Packing identified with infinite-friction isostatic state
Each friction coefficient has its own effective RLP state
Δφ becomes friction-dependent Unusual scaling of jamming thresholds Packings at different μ can be ‘mapped’ onto each
other Method to study `temperature’ in granular
materials?
Careful of History DependenceCareful of History Dependence
Dynamical Heterogeneities Dynamical Heterogeneities &&
Characteristic Length Scales Characteristic Length Scales in in
Jammed PackingsJammed Packings
How can we investigate these phenomena in jammed systems? Dynamic facilitation Response properties
Displacement Field in D=2, Displacement Field in D=2, μμ=0=0
Displacement Fields Displacement Fields Low-Frequency Low-Frequency ModesModesμμ=0=0
Displacement Field Low Frequency Mode
2D Perturbations: 2D Perturbations: ΔφΔφ>>0 with >>0 with μμ=0=0
2D Perturbations: 2D Perturbations: ΔφΔφ≈0 with ≈0 with μμ=0=0
2D Perturbations: Particle 2D Perturbations: Particle DisplacementsDisplacements
φ >> φc φ > φc φ ≈ φc
μμ=0=0
SummarySummary Frictionless packings exhibit anomalous low-k,
linear behaviour near jamming transition, S(k) ~ k
Suppression of long wavelength density fluctuations are a result of large length scale collective excitations
Frictional packings jam in similar way to frictionless packings
Location of jamming transition sensitive to friction coefficient
Random Loose Packing coincides with isostaticity of frictional system
Other ways to probe length scales and dynamical facilitation in static packings
AcknowledgementsAcknowledgements
Gary Barker, IFRGary Barker, IFRBulbul Chakraborty, BrandeisBulbul Chakraborty, BrandeisAndrea Liu, U. Penn.Andrea Liu, U. Penn.Sidney Nagel, U. ChicagoSidney Nagel, U. ChicagoCorey O’Hern, YaleCorey O’Hern, YaleMatthias Schröter, MPIMatthias Schröter, MPIMoises Silbert, UEA/IFRMoises Silbert, UEA/IFRMartin van Hecke, LeidenMartin van Hecke, Leiden
SIU Faculty Seed Grant