Modern Solid State NMR Strategies for the Structural Characterization of Disordered Materials
description
Transcript of Modern Solid State NMR Strategies for the Structural Characterization of Disordered Materials
Modern Solid State NMR Strategies for the Structural Characterization of
Disordered Materials
Hellmut Eckert
Instituto da Física São CarlosUniversidade de São Paulo
Disordered States of Matter
Non-Stoichiometric CompoundsPlastic Crystals
Glasses, Gels, CeramicsNanocomposites
CompositionPreparation, Processing
PropertiesStructureDynamics
O estado vítreo: aspectos termodinâmicos
gás
cristal
vidro
líquidotransição vítrea
Temperatura
En
talp
ia, v
olu
me
Distance distributions in states of matter
Ion Conducting Glasses
Network formers: SiO2,B2O3,P2O5,Al2O3
Network modifiers: alkaline, alkaline-earth orsilver oxides
Short Range Order
B
O
M
networkmodifier
networkformer
directly bonded neighbors
Coordination numbers and symmetries
Site quantification
200-300 pm
B, Si, P
O
Li-Cs
Medium-range Order in Glasses
Spatial distribution of modifiers
Network former-network modifier correlation
Network former connectivity
300-600 pm
Nano- and Microstructure
• Chemical Segregation,• Phase Separation,• Nucleation/growth
> 1nm
Solid State NMR
experimentelly flexible
Element selectiveLocally selectiveInherently quantitative
h
B0 E
0ΔE = B
H = HZ + HD + HCS + HQ
Distances Bonding geometry
selective - averaging
rot
zr
θ
B0 o7.54
Interações Dipolares Anisotropia de Desvio Químico - CSA
Interações Quadrupolares de Primeira Ordem
H = HZ + HD + HCS + HQiso 2nd.
Haniso= A . {3 cos2 – 1}
Magic Angle Spinning - MASMAS
Current Research Agenda
NMR Methods Glass Li Ion Battery Optical CatalystsDevelopment Science Components Materials Biomaterials
SSNMR, ESR Structure Electrode Luminescent FLP, ZeoliteDipolar Dynamics, Electrolytes, Ceramics, NanocompositesTechniques Sol-Gel CeramicsHybrids Bioceramics
Support
Industry: Corning, Schott, Ivoclar, Nippon GlassDFG, DFG-SFB, IRTG, BMBF
CNPq Universal, FAPESP, CEPID, CNPq- 1B
Mixed Network Former EffectIn Ion-Conducting Glasses
In a glass system with fixed network modifier content:How do the physical properties change
when we vary the network former composition ?
Often these changes are non-linear,requiring fundamental understanding
on a structural basis
Mixed network former effect in the (M2O)0.33[(P2O5)1-x(B2O3)x ]0.67 – System (M = Li, K, Cs):
Glass Transition Temperatures
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
400
450
500
550
600
650
700
750
800
x(B2O
3)
M2O =
Li2O
K2O
Cs2O
T
g / K
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
-14
-13
-12
-11
-10
-9
-8
log 10
(D
C
×cm)
M2O =
Li2O
K2O
Cs2O
x(B2O
3)
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
0.70
0.75
0.80
0.85
0.90
0.95
1.00
x(B2O
3)
M2O =
Li2O
K2O
Cs2O
EA /
eV
DC- conductivity (300 K) Activation Energies
Mixed network former effect in the (M2O)0.33[(P2O5)1-x(B2O3)x ]0.67 – System (M = Li, K, Cs)
100 50 0 -50 -100
x = 0.4500 K
(7Li) / ppm
400 K
220 K
240 K
260 K
280 K
300 K
320 K
340 K
360 K
380 K
200 K
420 K
440 K
460 K
480 K
200 250 300 350 400 450 500
0
1000
2000
3000
4000
5000
6000
7000
/
Hz
x = 0.0 x = 0.2 x = 0.4 x = 0.6 x = 0.8 x = 1.0
Dynamic characterization by static 7Li NMR
SingleNetwork former
Mixed network former
M. Storek, R. Böhmer, S. W. Martin, D. Larink, H. Eckert, J. Chem. Phys. 2012
Structural Issues Regarding the Mixed-Network Former Effect
• Network former speciations – Coordination polyhedra– Types of anionic and neutral species present
• Connectivity distributions– Random Linkages ?– Connectivity Preferences ?– Clustering/Phase separation ?
• Competition for the network modifier– Proportional sharing vs. preferential attraction
• Relation to physical properties
20 10 0 -10
a)
()/ ppm
x= 0.1
x= 0.2
x= 0.3
x= 0.4
x= 0.5
x= 0.6
x= 0.7
x= 0.8
x= 0.9
x= 1.0
20 0 -20 -40 -60
(P) ppm
x = 0.9
x = 0.8
x = 0.7
x = 0.6
x = 0.5
x = 0.4
x = 0.3
x = 0.2
x = 0.1
x = 0.0
11B
SOLID STATE NMR CHARACTERIZATION
31PB(3) B(4) P(1) P(2) P(3)
D. Larink, H. Eckert, M. Reichert, S.W. Martin, J. Phys. Chem. 126, 26162-26176 (2012)
Structural speciation in the (K2O)0.33[(P2O5)1-x(B2O3)x ]0.67 – system
0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,00
10
20
30
40
50 B4
B3
B2
P3
P2
P1
x(B2O
3)
Str
uktu
rein
heit
en in
%
0 < x < 0.5: P(2) units successively replaced by B(4) units0.5 < x 1.0: P(3) units successively replaced by B(3) units
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
1.2
1.3
1.4
1.5
1.6
1.7
x(B2O
3)
M2O =
Li2O
K2O
Cs2O
[O]
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
400
450
500
550
600
650
700
750
800
x(B2O
3)
M2O =
Li2O
K2O
Cs2O
Tg /
KTg-value and network connectedness
Glass transition temperature number of bridging oxygen per network former unit
0 < x < 0.5: P(2) units successively replaced by B(4) units0.5 < x 1.0: P(3) units successively replaced by B(3) units
x=45%
x=40%
x=35%
x=30%
x=25%
20 10 0 -10 -20 / ppm
x=20%BO3
BO4
11B- MAS –NMR Spectra of Borophosphate Glasses 50% Ag2O * x P2O5 * (50%-x) B2O3
Connectivity with phosphorus ??
S
I
ˆˆ ˆsin( )ISD r z zH D t I S
Modulation of HD under Sample Rotation
Magic- Angle Spinning (MAS)
Rotational Echo Double Resonance (REDOR)
+
-ˆ ISDH
Tr
+ +ˆ ISDH
Tr
I-channel pulse
ˆ ˆ( )z zI I
11B
31P
REDOR Pulse Sequence
[ Tr ]
0 1 2 3 4
/2
/2
S0- S
S0
=S0
S
11B
11B
31P
31P
11B {31P}-REDOR on50% Ag2O - 25% B2O3 - 25% P2O5
Site Connectivities in Borophosphate Glasses:
spin echo
spin echo with dephasing
difference
BO3 BO4
REDOR Pulse Sequence
[ Tr ]
0 1 2 3 4
/2
/2
S0
S
11B
11B
31P
31P
strength of interaction (# neighbors, distance)
dipolar evolution timeN . Tr
depends on:
222
0
1( ) ( )
( 1)r r
SNT M NT
S I I
Analysis of REDOR Curves in Glasses
22 2 2 60
2
4( 1)
15 4 I S ISS
M S S r
.
11B{31P} REDOR of Crystalline BPO4
.
0.0000 0.0005 0.0010 0.0015 0.00200.0
0.2
0.4
0.6
0.8
1.0
M2meas
= 15.8 ± 0.2 kHz2
M2
theo = 18.48 kHz
2
Measurement Simulation
(S0-S
)/S 0
NTr (s)
0,0 0,2 0,4 0,6 0,8 1,0 1,2 1,4
0,0
0,2
0,4
0,6
0,8
1,0
1,2 B4
B3
x = 0.6M
2(11B(B4){31P}) = 7.6×106 (+/- 10 %) rad2s-2
M2(11B(B3){31P}) = 2.1×106 (+/- 10 %) rad2s-2
N×Tr / ms
(S0-S
)/S 0+
(S 0-S
')/S 0
Network connectivity: 11B{31P} REDOR
No B(3)-O-P connectivity
M2 = 4-5 . 106 rad2/s2 per B-O-P linkage
S/So = 4/3 M2 (N.Tr)2
M2 ~ rij-6
Network connectivityvia O-1s XPS:
538 536 534 532 530 528 526
x = 1.0
x = 0.9
x = 0.8
x = 0.7
x = 0.6
x = 0.5
x = 0.4
x = 0.3
x = 0.2
x = 0.1
Bindungsenergie / eV
x = 0.0
Binding energy [eV]
P-O-P NBOP-O-B B-O-B
Constant linewidthPeak position changing monotonicallyAreas consistent with compositionModel compound validation
0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,0
0
10
20
30
40
50
60
70
80
90
100
Sau
erst
offu
mge
bung
in %
x(B2O
3)
NBO P-O-P P-O-B B-O-B
P-O-P
NBO P-O-BB-O-B
Quantification of network connectivity: Chemical ordering scenario
maximized B(4)-O-P Connectivityno B(3)-O-P Connectivityno B(4)-O- B(4) Connectivity; no P(2)
2B units
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
0
20
40
60
80
100 P-O-B P-O-P B-O-B
Con
cent
rati
on [
%]
x(B2O
3)
Structure-property correlations in the (M2O)0.33[(P2O5)1-x(B2O3)x ]0.67 – system
0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,00
10
20
30
40
50 B4
B3
B2
P3
P2
P1
x(B2O
3)
Str
uktu
rein
heit
en in
%
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
-14
-13
-12
-11
-10
-9
-8
log 10
(D
C
×cm)
M2O =
Li2O
K2O
Cs2O
x(B2O
3)
Speciation electrical conductivities
Charge delocalization near P31B and B4 0P units creates shallow
Coulomb traps, favoring ionic mobility
Summary
• Quantification of Mixed Network Former Effects– Site Quantifications– Connectivity distributions– Network modifier sharing
– Structure/Property correlations: Tg,
• Tendency for heteratomic linkages decreases:– Borophosphate -> Germanophosphate – ->Tellurophosphate -> Thioborophosphate
• Other systems studied: – Alumoborate, Alumophosphate,– Alumophosphosilicat
Solid State NMR as a tool in complex phosphate glasses
• Aluminophosphate or -borate matrices• Rare-Earth (RE) ion emitters embedded in
a glassy or ceramic environment• Luminescence intensity (excited state
lifetime, quantum yield) critically controlled by RE local environment and spatial distribution
Optical Glasses and CeramicsWaveguides, NLO-materials,
Matrices for RE dopants for potential laser applications
Fundamental Problem: NMR of fluorescent rare earth ions is impossible due to their strong f-electron paramagnetism
Structural Magnetic Resonance Approaches
1. NMR analysis of diamagneticmimics to RE species. 45Sc, 89Y-NMR
2. NMR analysis of paramagneticeffects on host constituentnuclei: HZ and T1
3. EPR analysis of electron-nucleardipolar couplings (studied by ESEEM)
1. NMR analysis of diamagneticmimics to RE species.´45Sc, 89Y-NMR
2. NMR analysis of paramagneticeffects on host constituentnuclei: HZ and T1
= Sc3+, Y3+= RE3+
NMR properties of the isotopes
nuclide 45Sc 89Y 139La 171Yb 175Lu
Spin 7/2 1/2 7/2 1/2 7/2
% abundance 100 100 99.9 14.3 97.4
Q/1028m2 0.22 0 0.2 0 2.8
/MHz (11.7T) 121 24.5 71.2 88.0 57.2
1. The Diamagnetic Mimic Approach
89Y MAS NMR of yttrium aluminoborate glasses and crystalline model compounds
20(Al20(Al22OO33)-20Y)-20Y22OO33-60B-60B22OO33
11B MAS NMR of 40-y(Al40-y(Al22OO33)-yY)-yY22OO33-60B-60B22OO33 (10 (10 y y 25) 25)
BO4
BO33-
(orthoborates)
BO32-
(pyroborates)
BO3-
(metaborates)
H. Deters, A. S. S. de Camargo, H. Eckert, et al. J. Phys. Chem. C 113, 16216 (2009)
Prior to crystallization
60 40 20 0 -20 -40
VC-Y10
VC-Y15
VC-Y25
(11B) / ppm
VC-Y20
YAl3(BO
3)4
YBO3
glassy B2O
3
11B MAS NMR of vitroceramics in the40-y(Al40-y(Al22OO33)-yY)-yY22OO33-60B-60B22OO33 system (10 system (10 y y 25) 25)
No evidence of meta- or pyroborate groups in the vitroceramics
30 20 10 0 -10
(11B) / ppm
S0 and S
S0-S
VC-Y20NT
R=0.0093 s
0.00 0.01 0.02 0.03
0.0
0.2
0.4
0.6
0.8
1.0
S/S
0
NTR / s
YAl3(BO
3)4 Y20
VC Y20
Change in B-O-Al connectivity upon crystallizationdetected by 11B{27Al} REDOR
43% of the B(3) units are not linked to aluminum in the vitroceramic
20Y2O3 - 20Al2O3 - 60B2O3
g-B2O3
8 10 12 14 16 18 20 22 24 260
10
20
30
40
50
60
70
11B
sig
nal f
ract
iona
l are
a
mol % Y2O
3
YAl3(BO
3)4
B2O
3
YBO3
Glass - to - vitroceramic transition for the system40-y (Al40-y (Al22OO33) - y Y) - y Y22OO3 3 – 60 B– 60 B22OO33
(B2O3)0.6(Al2O3)0.4-y)(Y2O3)y {(0.8/3) - (2y/3)} YAl3(BO3)4 + {(8y/3)-0.8/3} YBO3 + 0.2 B2O3
= Fermi + dip + dia
()Fermi {µB2/kBT}gisoBo ~ M
(2) dip ~ {µB2/kBT}r-3{gzz
2- ½(gxx2 + gyy
2)}(3cos2-1)
Rapid electron Zeeman state fluctuations (short T1e):
(1)Isotropic shift contribution(2)Isotropic shift contribution + broadening effects
2nd Approach: NMR Analysis of paramagnetic effects uponthe constituent matrix nuclei: HZ and T1
XZZZZZSol IBSIASISH IS ωω
60 40 20 0 -20 -40
Y20Nd0.75
Y20Nd0.50
Y20Nd0.35
Y20Nd0.20
Y20Nd0.10
ppm
Y20
60 40 20 0 -20 -40
ppm
Y20Er0.75
Y20Er0.50
Y20Er0.35
Y20Er0.25
Y20Er0.10
Y20
60 40 20 0 -20 -40
ppm
Y20Yb0.75
Y20Yb0.50
Y20Yb0.35
Y20Yb0.20
Y20Yb0.10
Y20
0,0 0,2 0,4 0,6 0,80
1000
2000
3000
LB /
Hz
x / mol% RE2O
3
Er3+-doped
Yb3+-doped
Nd3+-doped
BO3/2
0,0 0,2 0,4 0,6 0,80
1000
2000
3000
BO4/2
-
LB /
Hz
x / mol% RE2O
3
Er3+-doped
Yb3+-doped
Nd3+-doped
Al2O3)0.2(Y2O3)0.2(B2O3)0.6 : Nd3+, Er3+,and Yb3+ subst.
BO4BO3
Nd3+ Er3+ Yb3+
Distribution of the RE ions in the ceramics: 27Al MAS-NMR results
Linewidths and areas of new Al site are proportional to Yb/Y ratio
60 40 20 0 -20 -40 -60
VC-Y10Yb1.0
VC-Y10Yb0.5
VC-Y10Yb0.2
(27Al) / ppm
VC-Y10
60 40 20 0 -20 -40 -60
VC-Y20Yb2.0
(27Al) / ppm
VC-Y20Yb1.0
VC-Y20Yb0.5
VC-Y20Yb0.2
VC-Y20
10Y-30Al-60B 20Y-20Al-60B YAl3(BO3)4 YAl3(BO3)4 in phase mixture
H. Deters, A. S. S. De Camargo, C. N. Santos, H. Eckert, J Phys. Chem. C 114,14618 (2010)
0 2 4 6 8 10
100
200
300
400
[Yb]/([Y]+[Yb]) / %
VC-Y20Ybx (YAB)
Line
wid
th (
89Y
) / H
z VC-Y10Ybx (YAB)
0 2 4 6 8 100
500
1000
1500
2000
VC-Y20YbxYAB: B(3)-II
Line
wid
th (
11B
) / H
z
[Yb]/([Y]+[Yb]) / %
VC-Y10YbxYAB: B(3)-II
0 2 4 6 8 10
600
800
1000
1200
1400
1600
[Yb]/([Y]+[Yb]) / %
VC-Y20Ybx (YAB)
Line
wid
th (
27A
l) / H
z VC-Y10Ybx (YAB)
0 2 4 6 8 10
0
2
4
6
8
10
12
[Yb]/([Y]+[Yb]) / %
VC-Y20Ybxre
lativ
e frac
tion
of th
e
para
mag
netic
27A
l shi
ft VC-Y10Ybx
Linewidth (11B) Linewidth (27Al)
Linewidth (89Y) Peak area (27Al)
Apparent Yb/Y ratio in the YAB component of VC-Y20 lower than predicted
preferential location of Yb in YBO3 componentPreferential location of Nd in YAl3(BO3)4 component
44
3. ESEEM - Electron Spin Echo Envelope Modulation
90°
t+ t
90° 90°
t t
typical excitationwindow
• applied at a particular fixed field strength• systematic variation of the pulse spacing (t+t)
• Modulation effect results from the simultaneous excitation of allowed (ms=±1, mI=0) and partially forbidden (ms=±1, mI≠0 nuclear spin-flip) EPR transitions.
( ) ( ) ( )( ) ttcos1cos12
1 t;t, ttt k
V ( ) ( ) i
iges VV tt t;t t;t
22
I
I BBk
a = [(I + A/2)2 + B2/4]1/2 ß = [(I - A/2)2 + B2/4]1/2
XZZZZZSol IBSIASISH IS ωω
H. Deters, J.F. de Lima, C. Magon, A.S.S. de Camargo, H. Eckert, PCCP 13, 16071 (2011)
5 10 15 20 25 30 35 40
25Y-15Al
20Y-20Al
15Y-25Al
/ MHz
B = 9 kGt = 136 ns
10Y-30Al
10B11B
27Al
ESEEM Spectra of Yb-doped Glasses in the System xY2O3-(40-x)Al2O3-60B2O3
Summary
• Strategy for structural studies of rare earth ions in optical glasses– Influence of rare earth ions upon the framework structure– First 45Sc and 89Y NMR in glasses– First ESEEM of alumoborate glasses
• Study of crystallization mechanism and dopant distributions in Y-alumoborate vitroceramics– Substitution preference for Yb3+ ions
Solid State NMR as a promising tool in optical glasses
Thank you
• Dr. Heinz Deters• Frederik Behrends• Drs. J. F. de Lima, C. J. Magon (IFSC, USP) • Dr. A.S.S. de Camargo (IFSC, USP)
• SFB 458• NRW Graduate School of Chemistry• Fond der Chemischen Industrie
AK Eckert, WWU Münster
Prof. H. EckertProf. H.J. Deiseroth (University of Siegen)S.T. Kong (University of Siegen)
SFB 458
Thanks for your attention!
31P MAS NMR of Li7PS5-xSexCl
PS4 PS3Se PS2Se2 PSSe3 PSe4
Inc
rea
sin
g S
co
nte
nt In
crea
sing
Se c
on
ten
t
Resolution of first and second coordination sphereP-S bonding favored over P-Se bonding
51
31P MAS NMR of Li7PS5-xSexI
PS4 PS3Se PS2Se2 PSSe3PSe4
Clear differentiation of S/Se second coordination spheres Exceptionally good resolution suggests chalcogen/halogen ordering
Inc
rea
sin
g S
co
nte
nt In
crea
sing
Se c
on
ten
t
52
…as proven by 77Se NMR
Complementary Information using Halogen NMR
- Only 127I signal of ordered phase is visible, - In disordered materials EFG too large- Detection of LiI impurities
Paramagnetic broadening of the 207Pb Signal inTm-doped (PLZT) at different levels (wt.% Tm)
undoped 0.1
0.5 2.0
4.0 6.0
-1 0 1 2 3 4 5 6 7
350
400
450
500
550
600
650
700
750
800
M2 (
pp
m2 )
Amount of Tm3+ (weight-%)
Stepped-frequency acquisitionof full CPMG pulse trains
Second-moment analysis of Spikelet intensity distribution
RE segregation
Structural Investigations of RE doped YAlB Glasses
55
3. Echo Decay and Modulation
0 2000 4000 6000 8000t / ns
15Al-65B
T=164 ns
4K
B = 6.7 kGModulation
FT
0 5 10 15 20 25 30 35 40 / MHz
10B
11B
Glass Composition:0.5Yb2O3-19.5Y2O3-15Al2O3-65B2O3
Experimental Result – Echodecay Fit = Modulation
0 2000 4000 6000 8000
t / ns
15Al-65B
t = 164 ns
T = 4K
B = 6.7 kG
Echodecay Fit
Modulation
0 2000 4000 6000 8000
t / ns
15Al-65B
t = 164 ns
T = 4K
B = 6.7 kG
Echodecay Fit
0 2000 4000 6000 8000
t / ns
15Al-65B
t = 164 ns
T = 4K
B = 6.7 kG
Structural Investigations of RE doped YAlB Glasses
56
3. A brief Introduction to EPR-Spectroscopy
The EPR Hamiltonian for solids (simplification):
further simplifications:
Due to the anisotropy of the hyperfine coupling, the nucleus “sees” an additional hyperfineinteraction perpendicular to the quantization direction.
nuclear spin has a different quantization direction if the electronspin state is |S> than if it is |S>
As a further consequence, nuclear spin flips (mI ≠0) are partially allowed because of the anisotropy of the hyperfine coupling (B)Mixing of electron and nuclear spin states
SAI ZZSol ISH IS ωω
XZZZZZSol IBSIASISH IS ωω
B
O
O OB(n)mP B(n)
mPO
B(n)mP
B(4)0P
B(n)mP
B
O
O OB(n)mP P(n)
mBO
B(n)mP
B(4)1P
B(n)mP
B
O
O OB(n)mP P(n)
mBO
P(n)mB
B(4)2P
B(n)mP
B
O
O OP(n)mB P(n)
mBO
P(n)mB
B(4)3P
B(n)mP
B
O
O OP(n)mB P(n)
mBO
P(n)mB
B(4)4P
P(n)mB
B
O
O B(n)mP
B(3)0P
B(n)mP
1- 1- 1- 1- 1-
O
B(n)mP
B
O
O P(n)mB
B(3)1P
B(n)mP
O
B(n)mP
B
O
O P(n)mB
B(3)2P
B(n)mP
O
P(n)mB
B
O
O P(n)mB
B(3)3P
P(n)mB
O
P(n)mB
B
O
O B(n)mP
B(2)0P
B(n)mP
O
B
O
O P(n)mB
B(2)1P
B(n)mP
O
B
O
O P(n)mB
B(2)2P
P(n)mB
O
1- 1- 1-
P
O
O OP(n)mB
1 -
P(n)mB
O
P
O
O OP(n)mB
1 -
B(n)mP
O
P
O
O OB(n)mP
1 -
B(n)mP
O
P
O
O OP(n)mB P(n)
mBO
P(n)mB
P
O
O OP(n)mB B(n)
mPO
P(n)mB
P
O
O OP(n)mB B(n)
mPO
B(n)mP
P
O
O OB(n)mP B(n)
mPO
B(n)mP
P
O
O O
2-
P(n)mB
O
P
O
O O
2-
B(n)mP
O
P
O
O O
3-
O
P(3)0B P(3)
1B P(3)2B P(3)
3B
P(2)0B P(2)
1B P(2)2B
P(1)0B P(1)
1B P(0)
P
O
O OB(n)mP B(n)
mPO
B(n)mP
P(4)4B
B(n)mP
1+
11 possible PnmB and 15 possible Bn
mB units
BO
O
O
P
OO
O
O
P
OO
O
P
O
O
P
O
O
OO
0.25-
0.25-
0.25-0.25-
O
P
OO
O
O
P
O
O 0.5-
B(4)
B(4)
O
P
O
O 0.75-
B(4)
B(4)
O
B(4)
P32B P3
3B
PP
P
PP
P
PP
P31B
Bond valence Considerations
Competition for the network modifier
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
0
20
40
60
80
100 M2O =
Li2O
K2O
Cs2O
[QB]
[%]
x(B2O
3)
At all compositions, the phosphate attracts a larger part of the network modifier than predicted by the proportional sharing model.