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Dynamical properties of glass formersprobed with coherent X-rays
Beatrice Ruta
Grenoble 21/11/2019
Coherent X-rays and X-ray Photon Correlation Spectroscopy
Glassy systems
Atomic motion in metallic glass formers
Dynamics in oxide and silicates glasses
The EBS-ESRF upgrade
New scientific opportunities
Outline
Page 2
Coherent X-rays and X-ray Photon Correlation Spectroscopy
Glassy systems
Atomic motion in metallic glass formers
Dynamics in oxide and silicates glasses
The EBS-ESRF upgrade
New scientific opportunities
Outline
Page 3
Coherent X-rays
Page 4Courtesy of C. Gutt
Page 5
The intensity fluctuations are related to the constructive and
destructive interference between the two waves
http://micro.magnet.fsu.edu/primer/java/interference/doubleslit/
Coherence is observed when phases stay correlated (constant phase difference between pairs of points) in time and space two types of coherent lengths.
Coherent Radiation
Determined by monochromaticity: distance over which two waves with slightly different λare out of phase (Δφ=π)
Longitudinal coherent length
2ξL=Nλ
(N+1)(λ-Δλ)
ሻ𝑁λ = (N + 1ሻ(λ − ∆λ
λ = N + 1 ∆λ and N~λ
∆λ
ξ𝐿 =𝑁λ
2=1
2
λ2
∆λ
λ ≈1.5ÅΔλ/λ=1.4x10-4Si (1,1,1)ξL≈0.5 μm
Page 6
Transverse coherent lengths
Determined by beam size D and distance R: distance over which two waves slightly tiltedof an angle θ are out of phase (Δφ=π)
λ
2ξ𝑇= sinθ ≈ θ
D
𝑅= tanθ ≈ θ
ξ𝑇ℎ,𝑣 ≈λ
2
𝑅
𝐷ℎ,𝑣
Page 7
Transverse coherent lengths
Determined by beam size D and distance R: distance over which two waves slightly tiltedof an angle θ are out of phase (Δφ=π)
λ
2ξ𝑇= sinθ ≈ θ
D
𝑅= tanθ ≈ θ
ξ𝑇ℎ,𝑣 ≈λ
2
𝑅
𝐷ℎ,𝑣
To use coherence, the scattering volume VS should be smaller than the coherent volume Vc
This condition is difficult to achieve with X-rays
Page 8
Coherent X-rays
The ideal photon source would be a one-mode source(stimulated emission), e.g. unimodal lasers
X-ray sources are chaotic, because photons aregenerated by spontaneous emission like e.g. light bulbs,radioactive sources …
The key parameter quantifying the coherence properties of the photon source is the degeneracy parameter nc, i.e. the number of photons contained in the coherent volume Vc
nc≈107 for a typical optical lasernc≈10-3 for a typical (old) ESRF undulator
Page 9
Coherent X-rays
Page 10
X-Ray Photon Correlation Spectroscopy
O. Shpyrko et al, Nature 2007
Example: with λ=1Å, d=10μm coherent beam in transmission geometry:Speckle size λ/d*L= 10 μm at 1m detector distance L
Page 11
Page 12
Speckle pattern with X-rays
M. Sutton et al. Nature 1991
How do we measure the dynamics?
Page 13
F. van der Veen & F. Pfeiffer, J. Phys. Cond. Mat. 1998
2
)()(),(
n
triQ
nneQftQI
The intensity of the speckles is related tothe exact spatial arrangement of thescatters inside the system
2)(
)(),(
n
triQ
nneQftQI
Averaged quantities
X-Ray Photon Correlation Spectroscopy
Page 14
Information on the dynamics can be obtained by measuring a series of specklespatterns and quantifying temporal correlations of intensity fluctuations at a givenwave-vector q
X-Ray Photon Correlation Spectroscopy
tt+Δt
t+2Δtt+3Δt
A. Madsen, A. Fluerasu and B. Ruta, XPCS, Springer, 2015
𝑔2 𝑄, 𝑡 =ሻ𝐼(𝑄, 0ሻ𝐼(𝑄, 𝑡
ሻ𝐼(𝑄 2= 1 + 𝐴(𝑄ሻ ሻ𝐹(𝑄, 𝑡 2
𝐹 𝑄, 𝑡 =1
ሻ𝑆(𝑄
1
𝑁
𝑖=1
𝑁
𝑗=1
𝑁
𝑒𝑥𝑝 𝑖𝑸 𝒓𝒊 0 − 𝒓𝒋 𝑡
Siegert relation
Intermediate scattering function
experimental contrast
Page 15
The intermediate scattering function
The intermediate scattering function monitors the decay of the density fluctuationson a scale 2π/Q
(0) ( )( , )(Q,t)
( ) (0) (0)
Q Q
Q Q
tS Q tF
S Q
0.1 1 10 100 1,0000.0
0.2
0.4
0.6
f(q
,t)
time (s)
2π/Q
τ
Page 16
Intensity auto-correlation functions
Page 17
Intensity auto-correlation functions
1 10 1001.00
1.01
1.02
1.03
1.04
g2(t
)
time (seconds)Δt (seconds)
Page 18
Intensity auto-correlation functions
1 10 1001.00
1.01
1.02
1.03
1.04
g2(t
)
time (seconds)Δt (seconds)
Page 19
Intensity auto-correlation functions
1 10 1001.00
1.01
1.02
1.03
1.04
g2(t
)
time (seconds)Δt (seconds)
Page 20
Scientific activity with XPCS at ID10, ESRF
XPCS: (saxs, waxs, gi-xpcs)
• Supercooled liquids and glasses
• Soft materials (gels, colloids, …)
• Fluctuations at ordering phase transitions
• Driven dynamics by external fields T, E, B
• Interface dynamics in soft matter systems
• Atomic diffusion in alloys
• …
Energy range: 7,8,10 & 21 keV
Time resolution [2D det.]: ≈ ms - 104 s
Probed length scales: 8·10-4 - 3 Å-1
Y. Chushkin F. Zontone
Page 21
Interpretation of a correlation function
𝑔2 𝑞, 𝑡 = 1 + 𝑎exp −2𝑡
𝜏
𝛽
Kohlrausch-Williams-Watts (KWW) function
Page 22
a(q,t)=A*fq2 (t). Experimental contrast*nonergodicity parameter of
glasses info on secondary relaxation processes or elasticity in the material
β(q,t) = shape parameter info on the distribution of microscopic relaxation processes
τ(q,t) = structural relaxation time info on the mechanism of particle motion on a scale 2π/q
0.1 1 10 100 1,0000.0
0.2
0.4
0.6
g2(q
,t)-
1
time (s)
a
Interpretation of a correlation function
Depending on the value and dependence of the different parameters, it is possible to distinguish different particle motions
β=1 and τ=1/Q2 Brownian motion
β<1 and τ=1/Q Hopping of caged particles
β>1 and τ=1/Q Super diffusion, ballistic like motion and stress relaxation
Page 23
hopping of caged particles
Page 24
Two times correlation functions (TTCF)
Direct measurements of temporal evolution of the dynamics: time-resolvedversion of g2(q,t)
1 2
1 2
1 2
( , ) ( , )( , , )=
( , ) ( , )
P
P P
I Q t I Q tG Q t t
I Q t I Q tStationary dynamics
12 1( , ) ( , , )
tg Q t G Q t t
Courtesy of A. Madsen
10 100 1,000 10,0000.00
0.01
0.02
0.03
0.04
0.05
0.06
tw= 3140 s
tw= 7800 s
tw= 10900 s
time (s)
g2(t
)-1
exp. time
0 4500 9000 135000
4
50
0
9
00
0
1
35
00
t1(s)
t 2(s
)
Page 25
Aging
Two times correlation functions (TTCF)
Broadening of two-time correlation function slowing down of the dynamics
12 1( , ) ( , , )
tg Q t G Q t t
TTCF important also to check the reliability of the measurements
Page 26
Two times correlation functions (TTCF)
TTCF are important also for the data interpretation
Courtesy of F. Perakis
Page 27
Dynamical heterogeneities
normalized variance
F. Perakis et al. PNAS 2017
E. Weeks et al. Science 2000
XPCS on Glasses
Page 28
(τ up to 104 s, Q up to 4 Å-1)glasses
XPCS in Glasses
Page 29
Page 30
10 100 1,0000.00
0.01
0.02
0.03
0.04
0.05
0.06
time (s)
g2(t
)-1
q
Coherent X-rays 8.1 keV (1.53Å)
10 mm square slit
70 cm
Sample
Detector plane
tw
1.6 1.8 2 2.2 2.4 2.6 2.8 3 3.2
I(Q)
Q [Å-1]
Qmax
ANDOR CCD
0.04 ph/pixel/frameOne q per measurement
WAXS geometry8 keV: peak at 20°- 45° deg.
XPCS in Glasses
Page 31
XPCS in practise
The problem of the contrast
Ideal condition : VS < Vc
Contrast A= Vc/Vs
With X-rays contrast<1
Signal to noise ratio𝑆𝑁𝑅 ∝ 𝑐𝑜𝑛𝑡𝑟𝑎𝑠𝑡
Courtesy of C. Gutt
Page 32
Path length difference and coherence
Contrast decreases at large angles due to increase in path length difference between scattered waves:
PLD≈2hsin2(θ)+dsin(2θ)≤ξL
Detector at 2θFor x-rays typically 1 μm
In glasses: FSDP at 20-45 degreesLow contrast ≈ 2 - 6 %Thin samples ≈ 20 μm
Courtesy of A. Madsen
Page 33
XPCS in practise
Large speckles Small speckles
Contrast decreases if the speckles are not resolved
Courtesy of C. Gutt
Page 34
XPCS in practise
Signal to noise ratio:
𝑆𝑁𝑅 ~ 𝐴 ∙ ҧ𝐼 ∙ 𝑇 ∙ 𝑑𝑡 ∙ 𝑁𝑝
ҧ𝐼 = count rate per pixel
T= total duration of the measurement
dt= exposure time per frame
Np= number of pixel per detector
A= contrast
If the dynamics is stationary, SNR can be
improved averaging different data sets
Other practical rules:
Thickness of the sample (depends on absorption and contrast/q)
Detector optimization (speckles and dynamics)
Check sample-X-ray interaction
Check always TTCF
Coherent X-rays and X-ray Photon Correlation Spectroscopy
Glassy systems
Atomic motion in metallic glass formers
Dynamics in oxide and silicates glasses
The EBS-ESRF upgrade
New scientific opportunities
Outline
Page 35
The glass transition: a dynamical process
The final structure depends on thecooling rate (Glass 1 & 2) and evolvesspontaneously with time (Glass 3)
L. Berthier & M. Ediger, Phys. Today 2016Page 36
A liquid that has lost its ability to flow, being trapped in a metastable stateC. A. Angell, Science, 1995
Out-of-equilibrium state aging
Temporal evolution: Every observableevolves with time
Memory effects: strong dependence onthe sample preparation and history
1/Tg1
1/Tg2
slow cooling
fast cooling
supercooled
liquid
log
[rela
xati
on
tim
e
; v
isco
sity
]
1/T
glass
aging
Page 37
The glass transition: a dynamical process
Page 38L.M.C. Janssen Front. Phys. 2018
F(q,t) in supercooled liquids
The slow down of the dynamics toward the glassy state corresponds to a continuous shift of the decay time toward longer time scales and the emerging of different relaxation processes.
Page 39
F(q,t) in glasses
Liquid: texp>>τ
Glass: texp>>τ
The intermediate scattering function of a glass should not decorrelate
L.M.C. Janssen Front. Phys. 2018
Page 40
10-10
10-8
10-6
10-4
10-2
100
102
104
0.0
0.2
0.4
0.6
0.8
1.0
F(Q
,t)
time (s)
liquid frozen, non ergodic
? Glassy state (T<Tg):
No information due to limitation inexperiments
F(q,t) in glasses
Page 41
MD simulations in a Lennard-Jones glass
A the microscopic scale there are structural rearrangements that evolve with time
W. Kob and J-L. Barrat Phys. Rev. Lett. 1997
time
Coherent X-rays and X-ray Photon Correlation Spectroscopy
Glassy systems
Atomic motion in metallic glass formers
Dynamics in oxide and silicates glasses
The EBS-ESRF upgrade
New scientific opportunities
Outline
Page 42
Anomalous dynamics in metallic glasses:1. The dynamical crossover
The dynamical crossover
10 100 1,000 10,0000.0
0.2
0.4
0.6
0.8
1.0
1.2 T=418 K
T=417 K
T=415 K
T=413 K
T=410 K
T=408 K
F(Q
,t)2
t (s)
decreasing TMg65Cu25Y10
liquid
1012
1013
1014
1015
1016
2.4 2.5 2.6 2.7
102
103
104
105
106
visco
sity (p
oise)
Tg
LIQUID
rela
xat
ion t
ime
(s)
1000/T(1/K)
Q=max of S(Q) 2.56 Å-1
XPCS measurements (ID10 - ESRF)
tatqf exp),(
Tg
Page 44Ruta et al. Phys. Rev. Lett. 2012Ruta et al. Topical Review J. Phys. Cond. Matt. 2017
10 100 1,000 10,0000.0
0.2
0.4
0.6
0.8
1.0
1.2 T=418 K
T=417 K
T=415 K
T=413 K
T=410 K
T=408 K
T=393 K
T=388 K
T=383 K
T=373 K
F(Q
,t)2
t (s)
decreasing T
Tg
Mg65Cu25Y10
liquid
glass
1012
1013
1014
1015
1016
2.4 2.5 2.6 2.7
102
103
104
105
106
visco
sity (p
oise)
GLASSTg
LIQUID
rela
xat
ion t
ime
(s)
1000/T(1/K)
The dynamical crossover
Q=max of S(Q)2.56 Å-1
tatqf exp),(
XPCS measurements (ID10 - ESRF)
Page 45Ruta et al. Phys. Rev. Lett. 2012Ruta et al. Topical Review J. Phys. Cond. Matt. 2017
10 100 1,000 10,0000.0
0.2
0.4
0.6
0.8
1.0
1.2 T=418 K
T=417 K
T=415 K
T=413 K
T=410 K
T=408 K
T=393 K
T=388 K
T=383 K
T=373 K
F(Q
,t)2
t (s)
decreasing T
Tg
Mg65Cu25Y10
liquid
glass
1012
1013
1014
1015
1016
2.4 2.5 2.6 2.7
102
103
104
105
106
visco
sity (p
oise)
GLASSTg
LIQUID
rela
xat
ion t
ime
(s)
1000/T(1/K)
β>1
β<1
T>Tg: stationary dynamics, β<1, diffusive motion
T<Tg: aging, β>1 , Anomalous stress-driven dynamics
aging
The dynamical crossover
Q=max of S(Q)2.56 Å-1
tatqf exp),(
Ruta et al. Phys. Rev. Lett. 2012Ruta et al. Topical Review J. Phys. Cond. Matt. 2017
XPCS measurements (ID10 - ESRF)
Page 46
1E-3 0.01 0.1 1 100.0
0.2
0.4
0.6
0.8
1.0
1.2
10 100 1,000 10,0000.0
0.2
0.4
0.6
0.8
1.0
1.2
liquid
F(Q
,t)2
t/
b
glass
T=418 K
T=417 K
T=415 K
T=413 K
T=410 K
T=408 K
T=393 K
T=388 K
T=383 K
T=373 K
<1
(g2(t
)-1)/
A(T
)
t (s)
>1
adecreasing T
Q=2.56 Å-1
Tg=405 K
Δβglass~40%
The dynamical crossover at Tg
B. Ruta et al. Topical review, J. Phys. Cond. Matt. 2017 Page 47
0.01 0.1 10.0
0.2
0.4
0.6
0.8
1.0
10 100 1,0000.0
0.2
0.4
0.6
0.8
1.0
T=417 K
T=415 K
T=413 K
T=383 K
T=348 K
T=318 K
t/
F(Q
,t)2
t (s)
(g2(t
)-1
)/A
Temperature
Δβglass~70%
by heating
The dynamical crossover
Mg65Cu25Y10
10-3
10-2
10-1
100
101
0.0
0.2
0.4
0.6
0.8
1.0
liquid
= 0.76,= 2900 s
glass
= 1.60, = 200 s
F(Q
,T)2
t/
T= 383 K
Au49Cu26.9Si16.3Ag5.5Pd2.3
liquid
log
[;
vis
cosi
ty]
1/T
glass
B. Ruta et al., AIP Conf. Proc. 2013 S. Hechler et al., Phys. Rev. Mat. 2018
Page 48
The dynamical crossover
strange in hard glasses …
V. Lubchenko & P. G. Wolynes J. Chem. Phys. 2004
theories for aging predict a continuous decreasing of β below Tg
… similar to soft glasses (colloidal gels, clay suspensions, polymeric gels, …)
L. Cipelletti et al. Phys. Rev. Lett. 2000
J.-P. Bouchaud & E. Pitard ,Eur. Phys. J. E, 2001
E. Ferrero et al. Phys. Rev. Lett. 2014
M. Bouzid et al. Nat. Commun. 2017
P. Chaduri & L. Berthier, Phys. Rev. E, 2017
attributed to rearrangement events induced by internal stresses
Page 49
Hard colloids(Laponite)
Soft colloids(PNIPAM Microgels)
Metallic glass(PdNiCuP)
Common dynamical crossover from diffusiveto stress-driven microscopic dynamics andcompressed correlation functions.
Evenson, Ruta et al. PRL (2015) Nigro/ Ruta et al. submitted
Angelini et al. Soft Matt. (2013)
Common to different glassy systems
XPCSXPCS
XPCS
DMA
DLS
DLS
Page 50
Anomalous dynamics in metallic glasses:2. The hierarchical aging
Direct measurements of the temporal evolution of the dynamics
1 2
1 2
1 2
( , ) ( , )( , , )=
( , ) ( , )
P
P P
I Q t I Q tG Q t t
I Q t I Q t
12 1( , ) ( , , )
tg Q t G Q t t
10 100 1,000 10,0000.00
0.01
0.02
0.03
0.04
0.05
0.06
tw= 3140 s
tw= 7800 s
tw= 10900 s
time (s)
g2(t
)-1
exp. time0 4500 9000 135000
4
50
0
9
00
0
1
35
00
t1(s)
t 2(s
)Two times correlation functions
Page 52
10 100 1,000 10,0000.0
0.2
0.4
0.6
0.8
1.0
tw= 3100 s t
w= 7800 s
tw= 3900 s t
w= 8500 s
tw= 4700 s t
w= 9300 s
tw= 5500 s t
w= 10100 s
tw= 6200 s t
w= 10900 s
tw= 7000 s t
w= 11600 s
time (s)
F(Q
,t)2
T=453 K
3,000 6,000 9,000 12,0001000
2000
3000
4000
5000
6000
tw (s)
(s
)
w 0 w(T, t ) (T)exp(t / )
τ*~6000 s
tw
Pd77Si16.5Cu6.5 (Tg=625 K, Q=2.8 Å-1)
V.M. Giordano & B. Ruta, Nat. Commun. 2016
Microscopic Aging in Metallic Glasses
tatqf exp),(
Page 53
Structural origin of the fast aging
Pd77Si16.5Cu6.5 (Tg=625 K, Q=2.8 Å-1)
Fast aging due to density changes (structural defects annihilation)
400 450 500
1.004
1.005
1.006
1.007
1.008
T (K)
V/V
0
0 500 1000 1400
1.004
1.005
1.006
1.007
1.008
t-t0 (min)
V/V
0
0 70 150
433K
Rel
. volu
me
V/V
0=
(Q0/Q
)3
Isothermal volume relaxation
XRD
Page 54
waiting time (s)
L. Cipelletti et al. Phys. Rev. Lett. 2000
Similarities with jammed soft materials
slow aging
rela
xati
on
tim
e (s
)
Hierarchical aging in complex systems
colloidal gel
fast initial aging
Page 55
waiting time (s)
colloidal gel
Similarities with jammed soft materials
fast initial aging
slow aging
rela
xati
on
tim
e (s
)
Hierarchical aging in complex systems
Universal behavior?
L. Cipelletti et al. Phys. Rev. Lett. 2000
Page 56
1 6 7 8 91
10
Pd77
Si16.5
Cu6.5
(T/Tg=0.73)
Mg65
Cu25
Y10
(T/Tg=0.99)
Zr67
Ni33
(T/Tg=0.58)
tw
/*
/ 0
(T)
Anomalous stationary dynamics well below Tg
fast initial agingτ* ~ 6000 s
Hierarchical aging below Tg
Page 57
400 450 500
1.004
1.005
1.006
1.007
1.008
T (K)
V/V
0
0 500 1000 1400
1.004
1.005
1.006
1.007
1.008
t-t0 (min)
V/V
0
0 70 150
433K
XRD
Structural origin of the stationary regime
Continuous FSDP sharpening
Q=max of S(Q)
Rel
. volu
me
V/V
0=
(Q0/Q
)3
No volume relaxation
Page 58
400 450 500
1.004
1.005
1.006
1.007
1.008
T (K)
V/V
0
0 500 1000 1400
1.004
1.005
1.006
1.007
1.008
t-t0 (min)
V/V
0
0 70 150
433K
Two main processes controlling the aging:1) volume shrinking (density changes)
2) medium range ordering (constant density)
fast aging
stationaryregime
XRD
Structural origin of the stationary regime
Continuous FSDP sharpening
V.M. Giordano & B. Ruta, Nat. Commun. 2016
Q=max of S(Q)
Rel
. volu
me
V/V
0=
(Q0/Q
)3
No volume relaxation
Page 59
the evolution between the two could berelated to a ductile to brittle transition
Fast aging: thermal activation of a cascade of jumps from a high-energyminimum irreversible atomicrearrangements changing density
Stationary: Localized dynamics in a more relaxed minimum constant density butincreasing MRO
Fan et al. Phys. Rev. Lett. 2015
From cascade relaxation to localized motion
Page 60
Anomalous dynamics in metallic glasses:4. Secondary relaxation processes
and crystallization
Contrast decreases at the two highest temperatures
0 500 1000 15000.03
0.04
0.05
0.06
0.01 0.1 10.00
0.02
0.04
0.06
cf Q
2
t-t0 (min)
g2(t
)-1
delay time/
temperature
Temperature activation of an additional relaxation process
V.M. Giordano & B. Ruta, Nature Commun. 2016
XPCS
tcftqg QXPCS 2exp)(),( 2
2
Temperature induced secondary processes
Page 62
Contrast decreases at the two highest temperatureshigh temperature activation of a secondary relaxation with <3s (experimental
temporal resolution)
0 500 1000 15000.03
0.04
0.05
0.06
0.01 0.1 10.00
0.02
0.04
0.06
cf Q
2
t-t0 (min)
g2(t
)-1
delay time/
temperature
tcftqg QXPCS 2exp)(),( 2
2Temperature activation of an additional relaxation process
V.M. Giordano & B. Ruta, Nature Commun. 2016
XPCS
Temperature induced secondary processes
Page 63
V.M. Giordano & B. Ruta, Nature Commun. 2016
0 500 1000 15000.03
0.04
0.05
0.06
0.01 0.1 10.00
0.02
0.04
0.06
cf Q
2
t-t0 (min)
g2(t
)-1
delay time/
temperature
0 500 1000 15000,998
1
1,002
0,998
t -t0 (min)
r 4/r
4(2
98
)
0 500 1000 1500
0,92
0,96
r4
/ r 4
(29
8)
t-t0 (min)
c f
FSDP
stronger ordering at the medium range and
3rd shell expansion
XPCS
XRD
Temperature induced secondary processes
Page 64
The fast secondary relaxation starts at 493K and implies a stronger ordering.
Precursor to crystallization?
V.M. Giordano & B. Ruta, Nature Commun. 2016
Temperature induced secondary processes
Page 65
The fast secondary relaxation starts at 493K and implies a stronger ordering
Precursor to crystallization?• 493K: no evidence of crystallization in XRD spectra• However at 513K: 0.8% crystallization after 7h
V.M. Giordano & B. Ruta, Nature Commun. 2016
Temperature induced secondary processes
Strong support to the interpretation of this process as precursor to crystallization
Page 66
Structural & dynamical measurements during crystallization
How can we go further?
What do we need for these studies?Better contrast (now ≈ 4%)
More Flux + Faster detectors!
Page 67
Anomalous dynamics in metallic glasses:3. The intermittent aging
Au49Cu26.9Si16.3Ag5.5Pd2.3
β≈1.6
β≈1.4
≈ 500 s
Aging triggered by “discrete events”
Page 69I. Gallino/ B. Ruta Acta Mat. 2018
Au49Cu26.9Si16.3Ag5.5Pd2.3
Anomalous enthalpy recovery
XPCS
I. Gallino/ B. Ruta Acta Mat. 2018 Page 70
Au49Cu26.9Si16.3Ag5.5Pd2.3
Anomalous enthalpy recovery
XPCS
Cangialosi et al. Phys. Rev. Lett. (2012)
Polymeric glass
I. Gallino/ B. Ruta Acta Mat. 2018 Page 71
10-2
10-1
100
101
102
103
0.0
0.2
0.4
0.6
0.8
1.0
473 K
Zr50
Cu40
Al10
(t
)/
(0)
t (min)
693 K
Multiple relaxations in the elastic response
ε = 0.3%
Fast process: γ1>1 and almost no thermal contributionSlow process: γ2 <1 , strong T dependence
Τ𝜎(𝑡ሻ 𝜎 0 = 𝐴exp −(Γ1𝑡ሻ𝛾1 + (1 − 𝐴ሻ exp −(Γ2𝑡ሻ
𝛾2
Dynamic Mechanical Analyser under constant tensile strain
10-2
10-1
100
101
102
103
0.0
0.2
0.4
0.6
0.8
1.0
439 K
(a)
σ(t
)/σ
(0)
t (min)
629 K
Zr44
Ti11
Cu10
Ni10
Be25
ε = 0.3%
samples pre-annealed at 0.9 Tg for 48 h
P. Luo/ B. Ruta, W.H. Wang. Phys. Rev. Lett. 2017 Page 72
Dynamical crossovers
Angell’s classification of glass-formers
Debenedetti & Stillinger Nature, 2001
Shi, Russo & Tanaka PNAS, 2018
Fragile to strong dynamical crossover
Page 80
Fragile-to-strong-crossover and LLTs
Fragile-to-strong-crossover and Liquid-Liquid transition
C. Way, P. Wadhwa, R. Busch, Acta Mater. 2007
LLT
2-order of magnitude hysteresis in viscosity
change in fragility: D* = 12 D* = 26.5
kineticsDiscontinuities in total structure factor S(Q)
structure
Stolpe/ Busch Phys. Rev. B 2016
thermodynamics
Peak-like anomalies in heat capacity
Courtesy of R. BuschPage 82
Tg
Au49Cu26.9Si16.3Ag5.5Pd2.3
350 360 370 380 390 400 410
0.998
1.000
1.002(b)
strong glass
LL
T r
eg
ion
frag
ile li
quid
fragile
glass(Qm
ax
1(T
ref)/
Qm
ax
1)3
Temperature (K)
350 360 370 380 390 400 410
10-2
10-1
100
101
102
103
104
105
Tg
strong liquid
D*=23.1
D*=8.9
fragile liquid
(s
)
(a)
386 388 390 392
102
103
<>
(s)
T (K)
386 388 390 392
1.000
1.001
1.002
The supercooled liquid phase (XPCS+DMA)
Glass transition?- Expected Tg is 10 K lower- Aging only at expected Tg
- Stretched correl. functions- Steep temperature dependence
Q=2.78 Å-1
S. Hechler, et al. Phys. Rev. Mat. (2018) Page 83
Tg
2 XRD experiments- Same thermal protocol as XPCS- Continuous cooling with 1.5 K/min
The supercooled liquid phase (XRD)
T-step with long isotherms
Continuous cooling
S. Hechler, et al. Phys. Rev. Mat. (2018) Page 84
350 360 370 380 390 400 410
0.998
1.000
1.002(b)
strong glass
LL
T r
eg
ion
frag
ile li
quid
fragile
glass(Qm
ax
1(T
ref)/
Qm
ax
1)3
Temperature (K)
350 360 370 380 390 400 410
10-2
10-1
100
101
102
103
104
105
Tg
strong liquid
D*=23.1
D*=8.9
fragile liquid
(s
)
(a)
386 388 390 392
102
103
<>
(s)
T (K)
386 388 390 392
1.000
1.001
1.002
Au49Cu26.9Si16.3Ag5.5Pd2.3
SLOW
FAST
The supercooled liquid phase (XPCS+DMA+XRD)
Occurrence of important structuralrearrangements which cannot beassociated to the glass transition
S. Hechler, et al. Phys. Rev. Mat. (2018) Page 85
The liquid-liquid transition
Au49Cu26.9Si16.3Ag5.5Pd2.3
SLOW
FAST
FAST
SLOW
Q= 0.1 K/min: 1/Q3 ≠ V
Q= 1.5 K/min: 1/Q3 ≈ V
J. Bednarcik et al, J. All. Compd. 2010
S. Hechler, et al. Phys. Rev. Mat. (2018) Page 86
The liquid-liquid transition
Au49Cu26.9Si16.3Ag5.5Pd2.3
SLOW
FAST
Q= 0.1 K/min: 1/Q3 ≠ V
Q= 1.5 K/min: 1/Q3 ≈ V
S. Wei et al, Nat. Commun. 2013
S. Hechler, et al. Phys. Rev. Mat. (2018) Page 87
350 360 370 380 390 400 410
0.998
1.000
1.002(b)
strong glass
LL
T r
eg
ion
frag
ile li
quid
fragile
glass(Qm
ax
1(T
ref)/
Qm
ax
1)3
Temperature (K)
350 360 370 380 390 400 410
10-2
10-1
100
101
102
103
104
105
Tg
strong liquid
D*=23.1
D*=8.9
fragile liquid
(s
)
(a)
386 388 390 392
102
103
<>
(s)
T (K)
386 388 390 392
1.000
1.001
1.002
Au49Cu26.9Si16.3Ag5.5Pd2.3
Fragile-to-strong liquid-liquid transition
The glass transition is the dominantprocess at faster cooling rates
The LLT is accompanied by a fragile-to-strong dynamical crossover and asurprising shifting of the main peak ofthe S(Q) to lower Qs (increasing 1/Q)
S. Hechler, et al. Phys. Rev. Mat. (2018) Page 88
Coherent X-rays and X-ray Photon Correlation Spectroscopy
Glassy systems
Atomic motion in metallic glass formers
Dynamics in oxide and silicates glasses
The EBS-ESRF upgrade
New scientific opportunities
Outline
Page 83
Page 84
1.30 1.35 1.40 1.45 1.50 1.55
1
2
3
4
5
Glass
TNM model
Rc=0.1 K/min
Rc=1 K/min
Tg
log
[ (
s)]
1000/T (K-1
)
Liquid
Ea,glass=70 kJ/mol
Ea,liquid=470 kJ/mol
1 10 100 1,000 10,0000.0
0.2
0.4
0.6
0.8
1.0
T=723 K
T=693 K
T=668 K
T=648 K
t (s)
F(Q
,t)2
Decreasing T
Qmax=1.53 Å-1
0.8SiO2-0.2Na2O (NS4, Tg=783 K)
The correlation functions decay ina stretched exponential way as inthe liquid phase (β=0.67)
B. Ruta et al., Nat. Commun. (2014)
Page 85
0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.010
-24
10-22
10-20
10-18
10-16
10-14
10-12
10-10
10-8
Na tracer
Na tracer
Na tracer
QNS
QNS
from
NS4-G2
Si-O
dif
fusi
on
(m
2s-1
)
1000/T (K-1)
Na Tg
)(/
)/(1D 2
XPCS
QS
Q
XPCSincoh
incoh
Hempelmann et al, Z. Phys. B (1994)
Kargl et al. Phys. Rev. B. (2006)
XPCS data :
~10 orders of magnitudeslower than the Na diffusion
Closer to the low Textrapolation of the Si-Omatrix
Comparison with diffusion data
J. Horbach et al, Phys. Rev. Lett. (2002)
Wave vector dependence
Mezei et al, Physica Scripta (1987)
QNS data of supercooled CKN
0.0
0.2
0.4
0.6
0.8
1.0
0.0 0.5 1.0 1.5 2.0 2.50
50
100
150
200
(Q) (s)S
(Q)
Q (Å-1)
A. Meyer et al, Phys. Rev. Lett. (2004)
Dynamics of oxide glasses
Irradiation-driven dynamics in SiO2 at low temperature
The atomic motion at room temperature in SiO2
is completely induced by the incoming X-rays
By varying appropriately the average incoming flux (flux, exposure time, delay time) is possible to
tune “at will” the dynamics
101
102
103
104
0.0
0.2
0.4
0.6
0.8
1.0
1011
1012
1013
1014
0.0
0.2
0.4
0.6
0.8
1.0 b)
(g2(t
)-1
)/c
t [s]
a)
increasing
flux
F0~110
11 ph/s
F1~310
10 ph/s
F2~1.210
10 ph/s
F3~3.610
9 ph/s
(g2(t
)-1
)/c
tF [ph]
SiO2
Page 88
Page 89
Irradiation-driven dynamics in SiO2 at low temperature
B. Ruta et al. Scient. Report (2017)
Page 90
Same induced dynamics in GeO2 at low temperature
B. Ruta et al. Scient. Report (2017)
Page 91
No radiation damage
SiO2
B. Ruta et al. Scient. Report (2017)
Reversible process
The effect of the X-rays is almost instantaneous and leads to a reversible and stationary atomic motion, thus independent on the global accumulated dose within the experimental time
B. Ruta et al. Scient. Report (2017)Page 92
X-rays & Hard matter
Three main processes:
Knock-on events require high energy to break bonds
Electronic rearrangements require pre-existing defects
Radiolysis require lifetime of the excitation ~ vibrations ~1ps possible
This effect is absent in metallic systems where electronic excitations aredelocalized much faster on ~fs time scale
Hard X-rays as pump and probe of the dynamics
Similar to what observed with electrontransmission microscopy on bi-dimensional SiO2
Hobbs et al. J. Nuclear Mat. (1994)
Huang et al. Science (2013)
B. Ruta et al. Scient. Report (2017)Page 93
Page 94
Temperature dependence of the induced dynamics
Courtesy of G. Baldi
Page 95
Temperature dependence of the induced dynamics
G. Pintori et al. Phys. Rev. B (2019)Courtesy of G. Baldi
Coherent X-rays and X-ray Photon Correlation Spectroscopy
Glassy systems
Atomic motion in metallic glass formers
Dynamics in oxide and silicates glasses
The EBS-ESRF upgrade
New scientific opportunities
Outline
Page 96
The Extremely Brilliant Source upgrade
Page 103
Coherence: a key feature of the EBS-ESRF upgrade
30x at 8keV
ESRF Orange Book
The Extremely Brilliant Source upgrade
Page 104
The real gain at an undulator beamline as ID10
65x at 8keV
100x at 8keV
Courtesy of J. Chavanne, group head “Insertion Device & Magnets”, ESRF
Huge gain for coherence-based techniques!
800x at 12keV
The Extremely Brilliant Source upgrade
Page 105
Main parameters for XPCS
Page 106
XPCS at ESRF - EBS
EBS-ESRF will break new ground for XPCS
• Up to 10.000 times faster time scales
• Up to 100 times larger signal to noise ratio
• Extension into hard x-rays beyond 10 keV
Page 107
Adapted from O. Shpyrko J. Synch, Rad. 2014
τmin ≈ 100 ns (now only ≈ ms)
Energy: 6.5 - 35 keV(now mainly at 8 keV)
XPCS at ESRF-EBS
XPCS at ESRF - EBS
Page 108
EBS-L1: A new beamline for coherence based structural & dynamical studies
Approved by SAC in June 2017
Page 109
Coherent X-rays and X-ray Photon Correlation Spectroscopy
Glassy systems
Atomic motion in metallic glass formers
Dynamics in oxide and silicates glasses
The EBS-ESRF upgrade
New scientific opportunities
Outline
Page 104
Dynamics of supercooled liquids
Theoretical models:Discontinuous hopping of caged
particles : β<1 & τ≈ q-1
MD simulations of SiO2:No q-dependence at low Qs :
β<1 & τ constant
Handle et al. Phys. Rev. Lett. 2019
Batthacharryya et al. J. Chem. Phys. 2010
Page 105
P. Gallo et al. Chem. Rev. 2016Mischima et al. Nature 1985
Hierarchical densifications in metallic glasses
Q. Luo et al. Nat. Commun. 2015H. W. Sheng et al. Nat. Materials 2007
Dynamics at Extreme Conditions
Dynamical evolutions duringpolyamorphic transitions
Nucleation in magmas
F. Vetere et al. Earth-Sci. Rev. 2015
Dynamics of the polyamorphous Ce-based MG
XPCS @ 21 keV with a DAC
τ
Page 113
• Dynamical heterogeneity are ubiquitous in nature
– Supercooled liquids and glasses
– Domain fluctuations and avalanches in high-Tc superconductors and magnetic systems
– Polymers and biomaterials
Dynamical (left) and spatial (right) heterogeneity in simulations of 2D glass transitions
J.P. Garrahan, PNAS (2011) H. Tanaka et al. Nat. Mat. 2010
ESRF - EBS:1. Dynamics from (sub-)µs to s
2. Length scales: from single particles to particle clusters
Intermittent correlations
Courtesy of F. Lehmkühler, Desy, Hamburg, Germany Page 114
Coherent X-rays are a perfect tool to investigate the dynamics in supercooled liquids and glasses
Dynamical crossover and anomalous stress-driven microscopic dynamics in metallic and several soft glasses
Larger sensitivity of XPCS than structural techniques
Perfect tool for measurements in operando conditions
Tricky sample-radiation interactions
Take home message
Page 109
Thank you for your attention!