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A new control parameter for the glass transition of glycerol. P. - - PowerPoint PPT Presentation

A new control parameter for the glass transition of glycerol. P. Gadige, S. Albert, C. Wiertel-Gasquet, R. Tourbot, F. Ladieu Service de Physique de lEtat Condens (CNRS, MIPPU/ URA 2464), DSM/IRAMIS/ SPEC/SPHYNX CEA Saclay, France Main


slide-1
SLIDE 1

A new control parameter for the glass transition of glycerol.

  • P. Gadige, S. Albert, C. Wiertel-Gasquet, R. Tourbot, F. Ladieu

Service de Physique de l’Etat Condensé (CNRS, MIPPU/ URA 2464), DSM/IRAMIS/SPEC/SPHYNX CEA Saclay, France

Main Funding: Additionnal Funding:

slide-2
SLIDE 2
  • 4
  • 2

2 4 2 4 6

Tg(Est)-Tg(0) , [mK]

Est , [MV/m] Glycerol (Tg=187K at Est=0)

The most emblematic claim of this work :

 Small effect: discovered through a nonlinear technique (see L’Hôte, Tourbot, Ladieu, Gadige PRB 90, 104202 (2014) )

 As for P expts, the most interesting is not Tg(P) in itself but what we learn about the glass transition when varying the control parameter.

 Previously, the unique way to change Tg was the Pressure P  Est is a new control parameter in Glycerol.

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SLIDE 3

Outline: I) Motivations for nonlinear experiments

  • What happens around Tg ?
  • Dynamical Heterogeneities
  • Special interest of nonlinear responses !

II) Our specially designed experiment → it works ! III) Results on Glycerol

  • Order of magnitude and comparison to the Box model
  • Relation to Ncorr
  • Tg shift

Summary and Perspectives.

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SLIDE 4

Outline: I) Motivations for nonlinear experiments

  • What happens around Tg ?
  • Dynamical Heterogeneities
  • Special interest of nonlinear responses !

II) Our specially designed experiment → it works ! III) Results on Glycerol

  • Order of magnitude and comparison to the Box model
  • Relation to Ncorr
  • Tg shift

Summary and Perspectives.

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SLIDE 5

How to combine the existence of correlations with the absence of order ?

12 10 8 6 4 2

  • 2
  • 4

Tg / T Log (viscosity)  ta

Angell, Science 267 (1995) Tg / T 0 0.2 0.4 0.6 0.8 1.0

Ea  when T 

T Ea

e ~ ~

a

t 

 Correlations  when T  No (static) order

S(q) [a.u.] Polybutadiene, Tg 180K

What happens around Tg ?

Relaxation time ta

tα~ 10-12s

T Tm Tg

Liquid Supercooled liquid Glass

ta=100s

(Crystal)

slide-6
SLIDE 6

Dynamical Heterogeneities in supercooled liquids

  • Ncorr = average number of dynamically correlated molecules :

Hurley, Harowell, PRE, 52, 1694, (1995)

… directly observed in granular matter

  • r in numerical simulations.

Example : numerical simulations on soft spheres :

3 corr

N  

…Experimentally, the heterogeneous nature

  • f the dynamics has been established

through various breakthroughs:

  • NMR experiments
  • Local measurements

Tracht et al. PRL81, 2727 (98),

  • J. Magn. Res. 140 460 (99),…
  • E. Vidal Russell and N.E.

Israeloff , Nature 408, 695 (2000).

« clusters »

  • f 30-90

monomers

When T: Ncorr would , which would explain why ta increases so much

 Hole burning experiments

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SLIDE 7

Dynamical Heterogeneities and NHB.

Non Res Hole Burning: supercooled dynamics IS heterogeneous (at least in time)

e.g. R.Richert’s group: PRL, 97, 095703 (2006); PRB 75, 064302 (2007); EPJB, 66, 217, (2008); PRL, 104, 085702, (2010)…

A distribution of t’s exists e(t,w) : should be globally shifted in w

 Many improvements since Schiener, Böhmer, Loidl, Chamberlin Science, 274, 752, (1996)

 The central idea in Schiener et al ’s seminal paper in 1996:

… Can nonlinear experiments give MORE than originally expected ??....

Strong field (V0) at W No distribution of t e(t,w) : should be mainly modified close to W

slide-8
SLIDE 8

Outline: I) Motivations for nonlinear experiments

  • What happens around Tg ?
  • Dynamical Heterogeneities
  • Special interest of nonlinear responses !

II) Our specially designed experiment → it works ! III) Results on Glycerol

  • Order of magnitude and comparison to the Box model
  • Relation to Ncorr
  • Tg shift

Summary and Perspectives.

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SLIDE 9

The prediction of Bouchaud-Biroli (B&B): PRB 72, 064204 (2005)

Natural scale of c3 cs= static value of cLin a3= molecular volume

H wta « 1 »

Ncorr= number of dynamic. correlated molec. ta (T) : typical relaxation time H: scaling function

...

3 3

   E E P

Lin

c c e

t i

e E t E

w

 ) (

 

) ( ) ( ) , (

3 2 3

T H T N T k a T

corr B s a

wt c e w c 

Systematic c3(w,T) measurements to test the prediction and possibly get Ncorr(T)

c

t r p r p t p p t r g ) , ( ) , ( ) , ( ) , ( ) , ( sation characteri DH

4

           AND Ncorr « large enough »

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SLIDE 10

The issue of interpretations : Box Model versus B&B

c3(w,T) : Ncorr(T) or not ?

→ Each DH « k » has a Debye dynamics. {tk} chosen to recover clin(w) at each given T. Box model assumptions (designed for NHB): → Applying E: each DH « k » is heated by dTk (ttherm) with ttherm  tk. as{tk}ta heat diffusion over one DH takes a macroscopic time close to Tg.

2

~ E Tk d

) ~ ( ~

, 3 , ,

E P E T T P P P

k Lin k k Lin k Lin k k

c d    

c3 does NOT contain Ncorr (Box model is space free)

) E ' ' ~ density power (heat c density power heat ) (

2

w c d d t

k k k k

T t T    

c3 wta « 1 »

For a pure ac field Eac cos(wt): w and T dependences are qualitatively similar in the Box model and in B&B

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SLIDE 11

Some experiments done since B&B’s prediction (2005)

Using Est will shed a new light on this interpretation issue

→ Very good fits at 1w (better than at 3w Box model : B&B:

e.g. R.Richert’s group: PRL, 97, 095703 (2006); PRB 75, 064302 (2007); EPJB, 66, 217, (2008); PRL, 104, 085702, (2010)… Our group: PhD’s of C. Thibierge and C. Brun.

PRL (2010); (2012) PRB (2011) (2012); JChem Phys (2011) ,

→ Accounts for the transient regime at 1w → Several liquids tested (Richert PRL (2007))

) Im( ² ) Im( ' ' ln

) 1 ( 3 Lin

E c c e d  

) 3 ( 3 ) 1 ( 3

as well as c c

Augsburg group: PhD of Th. Bauer : 2 PRL’s in

(2013); etc…

→ Test of B&B’s prediction: OK → Evolution of Ncorr(T) or of Ncorr(ta) → Several liquids tested (Bauer, Lunkenheimer,

Loidl, PRL 111, 225702 (2013))

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SLIDE 12

Outline: I) Motivations for nonlinear experiments

II) Our specially designed experiment III) Results on Glycerol

  • Order of magnitude and comparison to the Box model
  • Relation to Ncorr
  • Tg shift

Summary and Perspectives.

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SLIDE 13

) cos( t Eac w

  

  ' ) ' ( ) ' ( ) ( dt t E t t t P

lin

c e

 

' 3 ' 2 ' 1 ' 3 ' 2 ' 1 ' 3 ' 2 ' 1 3

) ( ) ( ) ( , , dt dt dt t E t E t E t t t t t t

 

  

    c

Linear term First non-linear term

 

t j t j ac

e e E

w w

w c w c

3 ) 3 ( 3 ) 1 ( 3 3

) ( ) ( 3 Re 4 1

 

  ) ( e

Lin

P t P

{ 

) , , ( . . ) (

3 ) 1 ( 3

w w w c w c   T F

{ 

) , , ( . . ) (

3 ) 3 ( 3

w w w c w c T F 

4 6 10

  • 10

term linear terms cubic MV/m, 1 For

 

  E

 Specially designed setup

Dielectric setup and orders of magnitude

P e Supercooled liquid, controlled T VS (t)

st

E 

 

harmonics even ) ( Re 3

) 1 ( 1 ; 2 2

 

 t j ac st

e E E

w

w c

 ) (t E

{ 

) , , ( . . ) (

3 ) 1 ( 1 ; 2

w c w c T F 

... 

For “low enough” E

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SLIDE 14

Our setup to measure cubic susceptibilities

Vmeas

r1

Z2 = thick capacitor (2×thin) Z1 = thin capacitor

r2

Vac e j w t + Vst Bridge with two glycerol-filled capacitors of different thicknesses

  • C. Thibierge et al, RSI

79, 103905 (2008))

DV~ Vst

2 Vac

Phase (DV) = cte

ac V st V V 2

) 1 ( 1 ; 2

D  c

 when r1Z1=r2Z2 : Plin cancels

ILin + INonlLin

t P S I    : N.B.

2 ILin + 8 INonlLin

          w e 1

Lin

P P

 

t j ac

e E

w

w c

) ( Re 4 3

) 1 ( 3 3

 

t j ac st

e E E

w

w c

 ) ( Re 3

) 1 ( 1 ; 2 2

DV = Vmeas(Vac,Vst)

  • Vmeas(Vac,0)

1 10

10

  • 6

10

  • 5

10

  • 4

10

  • 3
  • 100

100 200 300

Modulus, [V] Vst , [V] Phase, [deg]

gives PNonLin

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SLIDE 15

Outline: I) Motivations for nonlinear experiments

II) Our specially designed experiment III) Results on Glycerol

  • Order of magnitude and comparison to the Box model
  • Relation to Ncorr
  • Tg shift

Summary and Perspectives.

 NB:

wta  f/fa

1,E-10 1,E-09 1,E-08 1,E+00 1,E+02 1,E+04 1,E+06

frequency [Hz] C or G/w [Farads]

' ~

Lin

c ' ' ~

Lin

c fa peak of clin’’(w) |clin(w)| has no peak

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SLIDE 16

0.1 1 10 100 10

  • 17

10

  • 16

10

  • 15
  • 250
  • 200
  • 150
  • 100
  • 50

50

197K (fa = 0.3 Hz) 202K (fa = 2.1 Hz) 211K (fa = 60 Hz) 218K (fa = 520 Hz)

|c

(1) 2;1|, [m 2/ V 2]

f/fa

Arg(c

(1) 2;1), [Deg]

At constant T:  humped shape for |c2;1

(1)|

 maximum happens in the range of fa Scaling of the hump in T

Main features of

) , (

) 1 ( 1 ; 2

T w c

Same qualitative trends as for c3

(1) and c3 (3)

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SLIDE 17

Comparing and

) , (

) 1 ( 1 ; 2

T w c

) , (

) 1 ( 3

T w c

For the first time, Box Model is unable to account for a cubic response: Decisive point for the interpretation issue …

          w e 1

Lin

P P

 

t j ac

e E

w

w c

) ( Re 4 3

) 1 ( 3 3

 

t j ac st

e E E

w

w c

 ) ( Re 3

) 1 ( 1 ; 2 2

 Compare |c3

(1)|/4 and |c2;1 (1)|

→ Same order of magitude

10

  • 1

10 10

1

10

2

2x10

  • 17

2x10

  • 17

2x10

  • 16

|X2,1

(1)|, T=202 K

|X3

(1)|/4

c2;1 c3

f/fa

, [m²/V²]

2

|c

(1) 2;1| or |c (1) 3 |/4

a

→ Measurements (  ) are in the stationnary regime (tst>> ta

Est tst

t Varying Est  ZERO dissipated power power dissipated ~ : Model Box In the

k

T d

Box model’s prediction :|c2;1

(1)|<< |c3 (1)|

Box model’s prediction is too small by a factor 300 for |c2;1

(1)|

(ions)

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SLIDE 18

0.01 0.1 1 10 100 0.01 0.1 1

0.01 0.1 1 10 100

  • 300
  • 200
  • 100

100 200 300

X

(3) 3

X

(1) 3

X

(1) 2;1

X

(1) 2;1

X

(3) 3

X

(1) 3

X

(1) 2;1 , X (1) 3 & X (3) 3

f/fa

w w

X

(3) 3 phase

X

(1) 3 Phase

X

(1) 2;1Phase

X

(1) 2;1Phase+ 

f/fa

Phase



The latest paper: Samanta, Richert, J.Chem.Phys. 142, (2015).

   

2 1 2

~ in plugged ) ( ~

static g c α static

E T (T) S T A ) Ln(τ T E S d c e    D  D model) (box heating : riation entropy va :

) 3 ( 3 ) 1 ( 3 ) 1 ( 1 ; 2 ac static

E and E c c c

Very unlikely due to the similarities of c2;1

(1) , c3 (1) ,

and c3

(3) .

Two different mechanisms at play ?

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SLIDE 19

Outline: I) Motivations for nonlinear experiments

II) Our specially designed experiment III) Results on Glycerol

  • Order of magnitude and comparison to the Box model
  • Relation to Ncorr
  • Tg shift

Summary and Perspectives.

slide-20
SLIDE 20

Comparing the w dependences of and of

) , (

) 1 ( 1 ; 2

T w c

         st E T

Lin

c

Direct link with

dT dχ T n

Lin estim corr ~

Berthier et al., Science (2005);

JCP, (2007); PRE (2007).

 For f/fa > 0.2:  w c  w c , , ) , (

) 1 ( 1 ; 2

T T T

Lin 

         80 . ,  

² ² 16

10 2 . 1

V Km 

  

with

expected from

for both Re and Im parts  T

 For f/fa < 0.2: “Trivial” dominates Reshuffling  Ideal gas at t >>ta

          T T

Lin

c  w c ) , (

) 1 ( 1 ; 2

0.1 1 10 100 10

  • 17

10

  • 16

10

  • 15
  • 250
  • 200
  • 150
  • 100
  • 50

50

|c

(1) 2;1| or | dcLin/dT|, [m 2/ V 2]

f/faor f/fa Arg(c

(1) 2;1) or Arg(- dcLin/dT), [Deg]

218K 197K

slide-21
SLIDE 21

T-dependences of the dimensionless cubic susceptibility

) (k n

X

195 200 205 210 215 220 0.6 0.8 1.0 1.2 1.4 1.6

10

  • 1

10 10

1

0.05 0.1

|X

(1) 2;1|

|Z (T)|/|Z (202K)| T, [K]

|X2;1

(1)|

|TcT| |X3

(1 or 3)(T<204.7K)|

f/fa

 

         T k a T T X

B s k n k n 3 2 ) ( ) (

, ) , ( c e w c w

is T-independent in the trivial limit (ideal gas)

)) ( ( ) ( T H T N

k n corr a

wt 

if B&B’s prediction holds

 “Trivial”

) 1 ( 1 ; 2

X

looks OK  Similar T dependences for

T T X

Lin k n

 c for and

) (

w and T dependences consistent with X2;1

(1) ~ Ncorr (OK within MCT)

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SLIDE 22

Each Dyn.Het.  µ = µm 𝑶𝒅𝒑𝒔𝒔

Can we fit nonlinear resp. ? The ‘‘toy model’’ as an attempt :

𝐹 //z

corr B corr

N T k t E N m µ e ~ ) ( where 

corr corr corr

N a N N m µ 1 ~

3

 M

corr Lin

N ~ 1 ~

3

c c

 

corr corr corr corr Lin

N E N e P E N N e P 3 ~ ~ ~ ~

3 3

Μ Μ

e P t P e th ch M     t

Simplest example: D=0=q1 can it fit the data ? … Two key points  Amorphous Order («as» in S.G.)

corr

N µ ~ Crossover to trivial is enforced at f<<fa

in a double well (to get long t),

  • f assymetry D
slide-23
SLIDE 23

Fits at Tg+17K:

 Ncorr has the right

  • rder of magnitude

 good fits for ALL the Xn

(k)

 … but with different values of Ncorr (toy model)

Ncorr=10 d=0.60 Ncorr=15 d=0.60

Ladieu, Brun, L’Hôte, PRB 85, 184207, (2012) L’Hôte, Tourbot, Ladieu, Gadige PRB 90, 104202 (2014)

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SLIDE 24

Outline: I) Motivations for nonlinear experiments

II) Our specially designed experiment III) Results on Glycerol

  • Order of magnitude and comparison to the Box model
  • Relation to Ncorr
  • Tg shift

Summary and Perspectives.

slide-25
SLIDE 25

Hensel-Bielowka et al. , PRE (2004)

Translating c2,1

(1) as a dTg shift

Pressure experiments: dTg(P) is drawn from :

Slight trivial distortion

  • f c2,1

(1) ≠1

 

 

) ( ; ; ; ; P   P

g

T T P T P d w w

Same method for Est:

 

 

) ( ; ; ; ;

st st

E T T P T E P

g

d w w  

1 with , , ) , (

) 1 ( 1 ; 2

             w c  w c T T T

Lin

dTg=3Est

2  Est is a new control parameter in glycerol

2 st E 3 ) st (E g T  d 

slide-26
SLIDE 26

A picture: D.H.  overcrowded subway

Density … S  and ta Increasing Est … Est … S  and ta Increasing Pressure …

Ncorr

slide-27
SLIDE 27

Summary and Perspectives.

 Our very sensitive setup has successfully measured c2;1

(1)(w,T)

 The interpretation issue is now clarified since :  the Box Model cannot account for the order of magnitude of c2;1

(1)

 Global consistency with cn

(k) ~ Ncorr:

 w and T dependences,  fits with the toy model  Perspectives = systematic studies of Ncorr  the scale on which the systems is solid, during ta :  study c3(w1;w2;w3) in other directions than (0,0,w) or (±w,w,w)  study c2;1

(1)at high temperatures (no heating)

 Study c2;1

(1) at higher fields or in other liquids

Thank you for your attention…

 For the nice discussions and/or long time support, warm thanks to:

  • G. Biroli, J.-P. Bouchaud, G. Tarjus, C. Alba-Simionesco, P.M. Déjardin, as

well as P. Lunkenheimer, A. Loidl and the Augsburg group.