Creating Shared Vision UW LEAH Seminar Laura Richardson, MD, MPH.
MD Glass Seminar
description
Transcript of MD Glass Seminar
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Dr. Gavin Mountjoy, University of Kent, Canterbury, UK
The applications of glass and the structure of glassfrom molecular dynamics
Nell'ambito del programma "Visiting Professor", finanziato dalla Regione Sardegna.
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Outline1) Glass is a important material
2) Molecular dynamics of glass
3) Structure of oxide glassesincluding: silicate glasses
phosphate glasses
4) Relationship of properties and structureincluding: dopants in glasses
phase separation
chemical durability
5) Summary
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1) Glass is an important material
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Materials are essential for our way of life
• we use materials to create tools
• materials science "triangle":– synthesis - structure - properties
• we need glass because it is transparent and strong– windows, containers, lighting, optics
– what is the alternative to glass?
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Glass is transparent and strong• We cannot use:
– metals - not transparent
– ceramics / oxide minerals - not transparent
– polymers - not strong
• Glass was discovered approx. 4000 years ago– probably a mixture of sand, ash and bone
– melting of mixture on a fire
– rapid cooling of melt, i.e. "melt-quenching"
• Modern glass industry– much glass is based on 15Na2O-10CaO-75SiO2
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20th century glass
• window glass– 10% Na2O - 15% CaO - 75%SiO2– electrical/chemical resistance: remove Na
– heat resistance: add B
– radiation resistance: add Ba
• container glass (add Al)– i.e. bottles
• lighting glass (add Mg)– i.e. light bulbs
• optical fibres– pure SiO2– need < 1ppb OH- groups
window glass global production ~40 million tonnes/yr ($20bn)
optical fibre global production ~70 million km/yr ($4bn)
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Glass is non-crystalline
• Crystalline ceramics are transparent– small crystals reflect light and look "white"
– large crystals are hard to manufacture
• Melt-quenching stops crystalisation– only works for special compounds
– glass typically has 90% density of crystal
– glass has no crystals to reflect light
• Thermodynamics: solids are crystals– periodic structure has lowest energy
– crystallisation occurs extremely rapidly
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Glass has a variable shape
• Melt-quenching allows control of the shape
• very useful for making containers
• very useful for making scientific instruments– lenses for microscope and telescopes
– glassware for chemistry
– valves for electronics
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Glass has variable composition
• Crystals have fixed compositions– except for dopants and alloys
• Glass composition is defined by mixture– glasses form more easily near the eutectic
• needed to make glass cheaply– pure silica (quartz) is a stronger glass
– adding soda reduces melting temperature
• need to make different applications– e.g. chromium is added to make green bottles
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21st century glass
• vitrification of nuclear waste– easy to add waste to glass mixture
– need to find glass that is more durable
• bioglass for bone replacement therapy– glass is dissolved and replaced with bone
– composition and pores stimulate cells
• solar energy– transparent protective layer for solar cells
– need to find glass that weighs less
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Wider interest in glass
• glasses are challenging for solid state theory– e.g. how to describe vibrations without lattice
• Earth's interior contains silicate melts– glass represents frozen liquid
• biomineralisation of amorphous oxides– living organisms precipitate amorphous phases
e.g. amorphous calcium carbonate in shells
• non-oxide glasses include – metallic, covalent and molecular compounds
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metallic covalentmolecular ionicglass
crystal
ethanol silica Cu-Zn alloy carbon
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2) Molecular dynamics of glass
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Structure is knowledge of atom positions• crystal is described by repeated unit cell:
• glass is described by average over all atom positions:
Hoppe et al (1998) JNCS 232 44
Lanthanum metaphosphate glass
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Li+
Li+F-
F-
Can predict motion of spheresusing equations of physics
Can think of atoms as solid spheres
e.g. motion of cannonball under gravitye.g. electron density in LiF
• predict atom positions using "modelling" methods: – by hand– Monte Carlo– reverse Monte Carlo (RMC)
• molecular dynamics method:
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Molecular dynamics simulation(1) simulate a liquid (melt): (2) freeze the liquid (quench):
(i) atom positions derived from
Newton's equations:
(ii) force derived from
interatomic potential Uij(x):
(iii) temperature derived from
velocity
½kBT = ½ mv2
( )xUdx
dF ijij =
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Interatomic potentials
• long range force between ions:– unlike charges attract, like charges repel
• short range force between atoms:– electron clouds repel
– e.g. "Buckingham" potential
• Where to get potentials?- from the literature
• How to check potentials?- simulate a crystal
https://www.ivec.org/gulp/
- typical software is GULP
6
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Molecular dynamics simulation of glass
coordinates
potential
temperature
MD
new coordinates
new temperature
- typical software is DLPOLY
http://www.cse.scitech.ac.uk/ccg/software/DL_POLY/
typically: (1) randomise
(2) 3000 K
(3) 2000 K
(4) "quench"
(5) 300 K
duration of simulation
timestep
MELT
QUENCH
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Si-O
O-O
Si-Si
Yuan & CormackJNCS (2001) 283 69
Analysing atom positions
• chemical information
e.g. SiO2 glass:
bond length RSi-O=1.60Å
coordination number NSi-O=4
polyhedral shape = SiO4 tetrahedra
connectivity of tetrahedra = 4
• interatomic distances r
described by Tij(r)
where Ri is atom coordinates
Si
( ) ( )( )∑∑ −−=i j
ji
i
ij rRRNr
rT δ11
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Comparing atom positions with experiment
X-ray absorption spectroscopy shows bond lengthsfor excited atom
diffraction shows interatomic distances• measures total interference function i(Q)
where ρi is no. density
• weighted by wij(Q) due to scatteringwhere ci is concentration, and bi / Zi is scattering
NMR data shows connectivity of tetrahedra• measures chemical shift of 11B, 27Al, 29Si, 31Pdepends on coordination number and connectivity
( ) ( ) 2/2 bbcbcQw jjiiijij δ−=
( ) ( ) ( )( ) ( )dQQrrrTQwQQii j
Q
Qjijij∑∑ ∫ −=
max
min
sin4 ρπ
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-2
0
2
4
0 10 20 30 40
Q(S(Q
)-1)
Q (A-1)
0
5
0 2 4 6 8 10
G(r)
r (A)
• comparing molecular dynmics of SiO2 glass with diffraction
-2
0
2
4
6
0 2 4 6 8 10
G(r)
r (A)
-2
-1
0
1
2
0 5 10 15 20
Q(S(Q
)-1)
Q (A-1)
GILDA beamline, ESRF
Grimley et al (1990)
T(r)−4πrρ 0
T(r)−4πrρ 0
X-ray
neutron
scattering intensity vs. Q interatomic distances vs r
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Example: analysis of Tb2O3-3P2O5 glassdistribution of interatomic distancesmolecular dynamics model
coordination numbers:NP-O=4 (96%)NTb-O=6 (68%)
connectivity of tetrahedra:n=2 (50%)
P
comparison with experiment:
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(iii) size of simulation: slower if use many atoms
we use 1000 atoms
number of atoms
100
1000
10000
duration (ps)10 100 1000
ab inito MD
classical MD
(iv) quench rate:
slower if use low quench rate
we use 1013 Ks-1
temperature (K)
300
1800
timescale (ps)10 100 1000
ab inito MD1014 K/s
classical MD1013 K/s
experiment103 K/s
(ii) timesteps: slower if use short timesteps
we use 10-15 s
slower if use many timesteps
we use 40,000 steps
(i) potentials: slower if use complex potentials
we use "rigid" ions
Time for molecular dynamics simulation
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• molecular dynamics does not agree with experiment1. quench rate (too high)
2. density
3. diffraction (especially X-ray)
4. NMR (connectivity of tetrahedra too variable)
5. vibrational spectra (frequencies too low)
• "ab initio" molecular dynamics– uses quantum mechanics
– treats electrons separately
– very slow!
Improving molecular dynamics of glass
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Interatomic potentials for SiO2 glass
• good match to structure– compare to neutron diffraction
• poor match to vibrational spectra– compare to inelastic neutron scattering
best
best
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3) Structure of oxide glasses
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Modified random network model
• Si, B, P, Ge are network formers– provide the strong part of the glass
• alkali, alkali earths are network modifiers– make glass useful for applications
– they break up the network
– form "channels"
• some cations have
intermediate behaviour– e.g. Al can be network former
after Greaves (1985)
Si
network formers
network modifiers
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Network formers
• network formers are p-block elements– in particular: Si, B, P, Ge
– strong bonds to oxygen
– tend to favour tetrahedral coordination
• coordination is sharply defined– well defined bond lengths and polyhedra
• connectivity is described by Qn distribution– where Q is tetrahedra and n is connections
0
5
10
15
20
25
1.5 2 2.5 3 3.5 4 4.5
r(A)
Tij(R)
SiO
CaO
OO
Q2Q3
formerSi
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Network modifiers
• network modifiers are s-group elements– e.g. Na, Ca (but not Be, Mg)
– weak, non-directional bonds to oxygen
– flexible coordination geometries
• coordination is variable– broad distribution of bond lengths
– coordination number not precisely defined
• modifiers tend to group together– at small content are "mixed" into glass network
– at large content form "channels"
0
5
10
15
20
25
1.5 2 2.5 3 3.5 4 4.5
r(A)
Tij(R)
SiO
CaO
OO
modifierCa
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Role of oxygen
• "bridging" oxygen– used to form links in network
• "non-bridging" oxygen– adding network modifier means breaking links
– e.g. Si−O−Si + Na2O → Si−O·Na + Si−O·Na
• oxygen bonding to modifiers(i) non-bridging oxygens are shared between modifiers
e.g. Si−O·Na·O−Si is not possible, but Si−O· ·O−Si is possible
(ii) bridging oxygen is also bonded to modifiers
e.g. Si−O−Si
NaNa
Na
Si NBONa
Si NBONa
Si
Si
BOSi
Si
BO
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Examples of oxide glass structures
• CaO-SiO2 glass– component of soda-lime (window) glass
– stimulates cells to deposit bone
• 5CaO-3Al2O3 glass– Al is a conditional glass former
– prepared by rapid quenching or gas levitation
– have greater transparency than silicates
• Tb2O3-3P2O5 glass– RE-doped glasses used in optical applications
– unusual thermal, acoustic, magnetic properties
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0
8
16
1.4 1.8 2.2 2.6 3 3.4r(A)
TSiO(r)
Si-Ob
Si-Onb
Ca-Ob
Ca-Onb
0
8
16
1.4 1.8 2.2 2.6 3 3.4r(A)
TAlO(r)
AlOb
AlOnb
CaOb
CaOnb
0
8
16
24
1.4 1.8 2.2 2.6 3 3.4r(A)
TPO(r)
POb
POnb
TbOb
TbOnb
CaO-SiO2 glass Tb2O3-3P2O5 glass5CaO-3Al2O3 glass
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Comparing glasses with crystals
• glasses are formed near the eutectic– lower melting temperature
– easier melt-quenching
– short range order is like crystal
• crystals with same composition might exist– e.g. Na2O-2SiO2 glass and sodium disilicate Na2Si2O5 crystal
– other crystals will have higher melting temperature
– crystals have strong ordering over larger distances
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CaO-SiO2 glass Tb2O3-3P2O5 glass5CaO-3Al2O3 glass
CaSiO3 crystal TbP3O9 crystal5CaO-3Al2O3 crystal
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Arrangements of modifiers over larger distances
• how can we describe "medium range order" of cations
• our recent work has looked at "channels"
Na2O-9SiO2 glass CaO-P2O5 glass
network connectivity
arrangement of modifiers
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Complex glass structures
o
o
oo
o
o
oo
o
o
o
o
oo
o
o
o o o
o
o
oo
K.M. Wetherall, P. Doughty, G. Mountjoy, M. Bettinelli, A. Speghini, M.F. Casula, F. Cesare-Marincola, E. Locci & R.J. Newport JPCM (2009) 21 375106
neutron & X-ray diffraction X-ray absorption spectroscopy
31P & 11B NMRinfrared & Raman spectroscopy
• 10Nb2O5-5Na2B4O7-85NaPO3 glass
Nb
molecular dynamics
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4) Relationship of properties and structure
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Dopants in glasses
• Small amounts of modifiers (dopants)
• Dopant is beneficial– give new property to glass
– e.g. lanthanide ions are luminescent
• Amount of dopant is limited– more dopant enhances properties, but...
– dopants may interact with each other
– lot of dopant causes phase separation
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How are dopants distributed?
• dopants far apart– dopants well mixed
– reduced dopant interactions
phase separation � dispersed ☺solution �
min.dist d
max.dist D
• dopants close together– increased dopant-dopant interactions
– causes phase separation
1 mol% Eu2O3 doped SiO2 glass
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Separation of dopants in a random mixture
• shortest distance between dopants– probability that next dopant at distance r
– follows a Poisson distribution
• no shortest distance < 3Å– dopants are separated by oxygens
• all shortest distances < 14Å– otherwise dopants would not fit in "box"
• 50% of shortest distances < 7Å– limits performance in optical applications
?
??
?
0
50
100
0 5 10 15separation distance (A)
% of dopants
random model
theory
MD model
min.
dist d
max.
dist D
1 mol% Eu2O3 doped SiO2 glass
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Phase separationin silicate glasses
• Medium amount of modifiers
• Phase separation in liquid– two liquid region, i.e. immiscible
– common in silicates
• Glass has frozen phase separation– useful in (e.g.) borosilicate glasses
– problem in (e.g.) ZrO2-SiO2 glasses
10 mol% CaOtwo liquids
50 mol% CaOone liquid
CaO-SiO2 phase diagram
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No phase separation in Na2O-SiO2 glasses
5 mol% Na2O: one liquid
10 mol% Na2O: one liquid
5Na2O-95SiO2 glass
10(Na2O)·90SiO2 glass
Na2O-SiO2 phase diagram
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43
5Na2O-95SiO2 glass
10(Na2O)·90SiO2 glass
onset ofpercolation
conductivity of Na+ions
Percolation of "channels" in Na2O-SiO2 glasses• "channels" are formed because
Si−O·Na·O−Si is not possible
but Si−O· ·O−Si is possible NaNa
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1 mol% Eu2O3: one liquid
5 mol% Eu2O3: two liquids
• isolated Eu• pairs Eu• clusters Eu
5Eu2O3-95SiO2 glass
melt is immiscible
Eu2O3-99SiO2 glassPhase separation in Eu2O3-SiO2 glasses
Eu2O3-SiO2 phase diagram
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Chemical durability of glasses
0
200
400
600
800
1000
0 10 20 30 40 50
Na2O content [mol %]
weig
ht gain
of H
2O
[g/c
m3]
2 hr
1 hr
• Large amounts of modifiers
• "Durability" is important– glass should be resistant to
scratches, fracture, and chemicals
• chemical durability decreases
when Na is added– other additives are ok, e.g. Ca
Na2O-SiO2 glassesattacked by water
Si−O−Si + OH- → Si−OH + Si−O-
"the breaking of a siloxane bond Si-O-Si... proceeds through
the nucleophilic attack on the Si atom" Budd et al [1962]
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Sodium breaks links in silica network
SiNa
NBONa• "non-bridging" oxygen are introduced
– e.g. Si−O−Si + Na2O → Si−O·Na + Si−O·Na
• connectivity of tetrahedra is decreased40Na2O-60SiO2 glass
Q4
Q2
Q3
connections per Si
connections are shown
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Sodium weakens links in silica network
Si
Si
BO Na
40Na2O-60SiO2 glass
• bridging oxygen is also bonded to Nae.g. Si−O−Si
• links between tetrahedra are weakened
Na
strong links per Si
strong links are shown
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5) Summary
• Applications of glasses– transparent and strong with variable shape and composition
• Molecular dynamics– provides detailed information on glass structure
• Oxide glass structure– network formers and modifiers
– bridging and non-bridging oxygen
• Properties changed by adding modifiers– solubility or phase separation of modifiers
– number and strength of network connections
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Acknowledgements
• Co-workers in molecular dynamics– Ed Clark
– Bryn Thomas
– Dr. Nasser Afify
– Bushra Al-Hasni
• Supporting organisations– EU Marie Curie Fellowship
– EPSRC
– Regione di Sardegna