Glassy systems
Condensed and soft-‐matter systems,...., computer science (optimization problems), economics (agent based models)...
Super-‐cooled liquids and structural glasses
Colloidal liquids and colloidal glasses
Slow Dynamics and the Glass Transition
T g
/T
• Relaxation time:
picoseconds -‐> days
• It takes one second to a molecule to move of one
Angstrom!
exp D
T
0
T T
0
Slow Dynamics and the Glass Transition
T g
/T
• Relaxation time:
picoseconds -‐> days
• It takes one second to a molecule to move of one
Angstrom!
exp D
T
0
T T
0
Slow Dynamics and the Glass Transition
T g
/T
• Relaxation time:
picoseconds -‐> days
• It takes one second to a molecule to move of one
Angstrom!
exp D
T
0
T T
0
Disordered structure
Liquid Glass
A snapshot of a glass looks like the one of a liquid!
W. Krauth
H =
X
U ( x i x i
) i<j
Z =
X exp( H )
C
Newtonian Dynamics
Langevin Dynamics
U(r) r
Super-‐cooled liquids Colloids
A huge number of minima, saddles and maxima
38 LJ particles
D.J. Wales et al.
•Huge number of competing low temperature phases
•What kind of long-‐range order: amorphous order?
•Properties of the ideal glass state
•Dynamics in such a complex landscape
•Huge number of competing low temperature phases
•What kind of long-‐range order: amorphous order?
•Properties of the ideal glass state
•Dynamics in such a complex landscape
Mean-‐Field Theory for Rugged Energy Landscapes
• A lot of metastable states below a characteristic temperature
N ( f ) = exp( N s c
( f ))
• Competition between free-‐energy and conQigurational entropy
Z
Z =
Z
= df N ( f ) exp( N f ) df exp( N [ s c
( f ) f ]) s c
1
=
⇥ s c
( f )
⇥ f f
Ideal Glasses
A long story from the Random Energy Model to Hard Spheres in infinite dimensions
Mean-‐Field Theory for Rugged Energy Landscapes
• A lot of metastable states below a characteristic temperature
N ( f ) = exp( N s c
( f ))
• Competition between free-‐energy and conQigurational entropy
Z
Z =
Z
= df N ( f ) exp( N f ) df exp( N [ s c
( f ) f ]) s c
2
=
⇥ s c
( f )
⇥ f f
Ideal Glasses
A long story from the Random Energy Model to Hard Spheres in infinite dimensions
Mean-‐Field Theory for Rugged Energy Landscapes
• A lot of metastable states below a characteristic temperature
N ( f ) = exp( N s c
( f ))
• Competition between free-‐energy and conQigurational entropy
Z
Z =
Z
= df N ( f ) exp( N f ) df exp( N [ s c
( f ) f ]) s c
K
=
⇥ s c
( f )
⇥ f f
Ideal Glasses
A long story from the Random Energy Model to Hard Spheres in infinite dimensions
The dynamical (Mode-‐Coupling) transition
Q ( t ) :
1
N
1
X h s i
( t ) s i
(0) i
N
X h exp
✓ i
( x j
( t ) x 0 i
(0)) 2
2 a 2 i,j
◆ i
•Power law divergence of the relaxation time
•Discontinuous Edwards Anderson Parameter
•Singular behavior in time before the transition q
Random First Order Transition
Kirkpatrick, Thirumalai and Wolynes,...
Franz-‐Parisi
Potential
X exp ( H ( C ))
Z
C
[ Q ( C , C eq
) q ] = exp( N V ( q )) s c
•Mode Coupling Cross-‐Over analogous to a spinodal
•Glass Transition analogous to a phase transition of Ising in a Qield
Overlap Magnetization
ConWigurational entropy Magnetic Wield
Pro and Cons of Mean-‐Field Theory
•Ideal Glass Transition as condensation transition
•Qualitative phase diagrams (structural glasses, colloids,...)
•Behavior of static intensive observables (g(r), speciQic heat,...)
•No stable states below T
M CT
•Wrong description of the dynamics
Pro and Cons of Mean-‐Field Theory
•Ideal Glass Transition as condensation transition
•Qualitative phase diagrams (structural glasses, colloids,...)
•Behavior of static intensive observables (g(r), speciQic heat,...)
•No stable states below T
M CT
•Wrong description of the dynamics
Analytical Frameworks
•Replica Field Theory for the statics
•Dynamical Field Theory
•Replica Qield Theory for the dynamics
Replica Field Theory
R q
↵ , R
( x ) |
B
=1
D q
↵ , exp ( L ( q
↵ ,
( x ))) O ( q
1 ,m
) q
↵ ,
( x ) |
B
=1
L ( q
↵ ,
( x )) =
Z
D q
↵ , exp ( L ( q
↵ ,
( x ))) d d x
2
4
X
↵ <
( r q
↵ ,
( x )) 2
2
= 1 , . . . , m !
1
3
+ H ( q
↵ ,
( x ))
5
Mean-‐Field Theory: q
↵ ,
( x ) = q & saddle point method
H ( q
↵ ,
( x )) = ( m 1) V ( q )
Dynamical Field Theory
Similar procedure but
Mean-‐Field Theory: and saddle point method
Mode-‐Coupling Theory equations
Replica Field Theory for the dynamics quasi-‐equilibrium inside a “state” perturbation around the secondary minimum
Static length-‐scale
Liquid Glass
Dynamical length-‐scales
Hedges et al, 3D KA liquid
Local overlap q ( x ; t, 0)
Dynamical length-‐scales grow approaching the glass transition
L. Berthier, G.B. J.-‐P. Bouchaud, L. Cipelletti, W. van Saarloos, Dynamical heterogeneity in glasses, colloids and granular media , Oxford University Press 2011
Measurements of Point-‐to-‐Set length
GB, JP Bouchaud, A. Cavagna, T.S. Grigera, P. Verrocchio, Nature Physics, 2007 and several other studies later on.
•PS length-‐scale grows (but mildly)
•The relationship with the time-‐scale is, for the moment, unknown
Measurements of dynamic length
Berthier, GB, Bouchaud et al. Science ’05; PRE ’07 Flenner, Zhang, Szamel (Hard Spheres Mixture) PRE ’11
•Qualitative behavior is in agreement with theory
•“Critical” exponents are not in agreement with MF theory ( )
Qualitative facts not accounted for
/ exp( ` 3 F/k
B
T )
1 + exp( ` 3 F/k
B
T )
Where is the sharp change?
Candelier, GB, Dauchot et al. Relaxation close to MCT: dynamical facilitation and avalanches, quite different from spinodal Qluctuations
Gradenigo, GB (ongoing)
FLUCTUATIONS V(q) N = 70
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
0 0.1
sample A sample B sample C
0.2
0.3
0.4
q
0.5
0.6
0.7
0.8
/ exp( ` 3 F/k
B
T )
1 + exp( ` 3 F/k
B
T )
Smooth change since and Qluctuate
GB, JP Bouchaud, A. Cavagna, T.S. Grigera, P. Verrocchio, Nature Physics, 2007
Fytas, Malakis ’08
Para
Strong disorder destroys the transition in the RFIM
Ferro
How strong is the self-‐induced disorder ?
Too strong in several disordered lattice models: no transition and different physics Cammarota, GB, Tarjus, Tarzia ’13,...
Not known yet in glass-‐forming liquids: crucial and within reach!
Avalanches & dynamical facilitation
This is expected for a spinodal in presence of disorder, cf. RFIM
Taking into account the effect of disorder is crucial to understand the critical d = 8
Nandi, GB, Tarjus, Parisi (to appear)
Rizzo ’13,’14
Replica Field Theory
X e
C eq
H ( C eq
)
P
Z e
C
H ( C ) ⇧ x 2 B
[ e H ( C ) ⇧ x 2 B q (
[
C q
,
(
C
C , eq
C
, x eq
)
, x )
1] O
1]
( q )
Replica Field Theory
X e
C eq
X e
C eq
H ( C eq
)
P
Z e
C
H ( C ) ⇧ x 2 B
[ e H ( C ) ⇧ x 2 B q (
[
C q
,
(
C
C , eq
C
, x eq
)
, x )
1] O
1]
( q )
H ( C eq
)
Z
P
P
C
C e H ( C ) ⇧ x 2 B e H ( C ) ⇧ x 2 B
[ q ( C , C eq
, x ) 1] O ( q )
1 n
[ q ( C , C eq
, x ) 1]
Replica Field Theory
X e
C eq
X e
C eq
H ( C eq
)
P
Z e
C
H ( C ) ⇧ x 2 B
[ e H ( C ) ⇧ x 2 B q (
[
C q
,
(
C
C , eq
C
, x eq
)
, x )
1] O
1]
( q )
H ( C eq
)
Z
P
P
C
C e H ( C ) ⇧ x 2 B e H ( C ) ⇧ x 2 B
[ q ( C , C eq
, x ) 1] O ( q )
1 n
[ q ( C , C eq
, x ) 1]
X e
C eq
H ( C eq
) X e
Z
C
H ( C )
⇧ x 2 B
[ q ( C , C eq
, x ) 1] O ( q )
!
X e
C
H ( C )
⇧ x 2 B
[ q ( C , C eq
, x ) 1]
!
n 1
Replica Field Theory
X e
C eq
H ( C eq
) X e
Z
C
H ( C )
⇧ x 2 B
[ q ( C , C eq
, x ) 1] O ( q )
!
X e
C
H ( C )
⇧ x 2 B
[ q ( C , C eq
, x ) 1]
!
n 1
Replica Field Theory
X e
C eq
H ( C eq
) X e
Z
C
X
C eq e
H ( C )
⇧ x 2 B
[ q ( C , C eq
, x ) 1] O ( q )
!
X e
C
H ( C eq
)
0
@
Z
X
C
1
,..., C n e
H ( C )
⇧ x 2 B
[ q ( C , C eq
, x ) 1]
!
n 1
1
H ( C
1
) ··· H ( C n
)
⇧ a,x 2 B
[ q ( C a
, C eq
, x ) 1] O ( q
1 , eq
)
A
Replica Field Theory
X e
C eq
H ( C eq
) X e
Z
C
X
C eq e
H ( C )
⇧ x 2 B
[ q ( C , C eq
, x ) 1] O ( q )
!
X e
C
H ( C eq
)
0
@
Z
X
C
1
,..., C n e
H ( C )
⇧ x 2 B
[ q ( C , C eq
, x ) 1]
!
n 1
1
H ( C
1
) ··· H ( C n
)
⇧ a,x 2 B
[ q ( C a
, C eq
, x ) 1] O ( q
1 , eq
)
A
P
C
1
,..., C n
, C eq e H ( C
1
) ··· H ( C n
) H ( C eq
) ⇧ a,x 2 B
Z
[ q ( C a
, C eq
, x ) 1] O ( q
1 ,eq
)
Replica Field Theory
P
C
1
,..., C n
, C eq e H ( C
1
) ··· H ( C n
) H ( C eq
) ⇧ a,x 2 B
Z
[ q ( C a
, C eq
, x ) 1] O ( q
1 ,eq
)
Replica Field Theory
P
C
1
,..., C n
, C eq e H ( C
1
) ··· H ( C n
) H ( C eq
) ⇧ a,x 2 B
Z
[ q ( C a
, C eq
, x ) 1] O ( q
1 ,eq
)
P
C
1
,..., C m e H ( C
1
) ··· H ( C m
)
Z
⌦
( B ) q
↵ ,
=1
O ( q
1 ,m
) m !
1
↵ = 1 , . . . , m
Replica Field Theory
P
C
1
,..., C n
, C eq e H ( C
1
) ··· H ( C n
) H ( C eq
) ⇧ a,x 2 B
Z
[ q ( C a
, C eq
, x ) 1] O ( q
1 ,eq
)
P
C
1
,..., C m e H ( C
1
) ··· H ( C m
)
Z
⌦
( B ) q
↵ ,
=1
O ( q
1 ,m
) m !
1
↵ = 1 , . . . , m
P
C
1
,..., C m
P e
C
1
,..., C m
H ( C
1
) ··· H ( C m
) ⌦
( B ) q
↵ , e H ( C
1
) ··· H ( C m
) ⌦
=1 q
↵ ,
O ( q
1 ,m
)
( B )
=1
Replica Field Theory
P
C
1
,..., C n
, C eq e H ( C
1
) ··· H ( C n
) H ( C eq
) ⇧ a,x 2 B
Z
[ q ( C a
, C eq
, x ) 1] O ( q
1 ,eq
)
P
C
1
,..., C m e H ( C
1
) ··· H ( C m
)
Z
⌦
( B ) q
↵ ,
=1
O ( q
1 ,m
) m !
1
↵ = 1 , . . . , m
P
C
1
,..., C m
P e
C
1
,..., C m
H ( C
1
) ··· H ( C m
) ⌦
( B ) q
↵ , e H ( C
1
) ··· H ( C m
) ⌦
=1 q
↵ ,
O ( q
1 ,m
)
( B )
=1 m !
1 replicas that coincide on the boundary
Replica Field Theory
P
C
1
,..., C m
P e
C
1
,..., C m
H ( C
1
) ··· H ( C m
) ⌦
( B ) q
↵ , e H ( C
1
) ··· H ( C m
) ⌦
=1 q
↵ ,
O ( q
1 ,m
)
( B )
=1
Replica Field Theory
P
C
1
,..., C m
P e
C
1
,..., C m
H ( C
1
) ··· H ( C m
) ⌦
( B ) q
↵ , e H ( C
1
) ··· H ( C m
) ⌦
=1 q
↵ ,
O ( q
1 ,m
)
( B )
=1
0
@
X
C
1
,..., C m e
1
H ( C
1
) ··· H ( C m
)
[ q
↵ ,
( x ) q ( C
↵
, C , x ))] = exp ( L ( q
↵ ,
( x )))
A
Replica Field Theory
P
C
1
,..., C m
P e
C
1
,..., C m
H ( C
1
) ··· H ( C m
) ⌦
( B ) q
↵ , e H ( C
1
) ··· H ( C m
) ⌦
=1 q
↵ ,
O ( q
1 ,m
)
( B )
=1
0
@
X
C
1
,..., C m e
1
H ( C
1
) ··· H ( C m
)
[ q
↵ ,
( x ) q ( C
↵
, C , x ))] = exp ( L ( q
↵ ,
( x )))
A
R q
↵ , R
( x ) |
B
=1 q
↵ ,
D q
↵ , exp ( L ( q
↵ ,
( x ))) O ( q
( x ) |
B
=1
D q
↵ , exp ( L ( q
↵ ,
( x )))
1 ,m
)