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Electron transfer optimisation in Electron transfer optimisation in organic solar cellsorganic solar cells
James DurrantCentre for Electronic Materials and Devices
Departments of ChemistryImperial College London
• Introductory remarks• Charge recombination vs. charge separation and transport• Interface engineering• Inhomogeneity
Why organic PV now?• Political: global warming• Commercial: perception that Si based PV
may not have the potential for mass PV production
• Scientific: building up recent advances in– Organic electronics – LED’s and FET’s– Molecular electronics: supermolecular
photochemistry– Materials control and measurement on the
nanometer scale
Organic photovoltaic technologiesGlass substrate
ITOMixed Layer
Glass substrateITO
Mixed Layer
h+e-
Dense TiO2 (~ 40 nm)(Hole blocking layer)
Porous TiO2 (~100 nm)
Polymer (~50nm)
Device structure
ITO substrate
+ -
LightTiO2 nanoparticles
PEDOT
Au electrode
Silver paint
Dense TiO2 (~ 40 nm)(Hole blocking layer)Dense TiO2 (~ 40 nm)(Hole blocking layer)
Porous TiO2 (~100 nm)Porous TiO2 (~100 nm)
Polymer (~50nm)Polymer (~50nm)
Device structure
ITO substrate
+ -
LightTiO2 nanoparticles
PEDOT
Au electrode
Silver paint
Device structure
ITO substrateITO substrate
+ -+ -
LightLightTiO2 nanoparticlesTiO2 nanoparticles
PEDOTPEDOT
Au electrodeAu electrode
Silver paint Silver paint
dye sensitisedphotoelectrochemical Molecular thin film
Polymer/C60 blend
Organic/inorganic hybrid
Challenges• Stability
– liquid versus solid state, O2, water….
• Processibility– low temp processing on flexible substrates
• Efficiency– Improved red spectral response– Improved voltage and FF whilst maintaining high IQE– Efficiency versus processibility / stability issues
Haque et al. Chem Comm 2003
Molecular donor/acceptor dyads
0.1 1.0 10.0 100.0 1000.00.0
1.0
2.0
3.0
4.0
0.0 20.0 40.0 60.0 80.00.0
1.0
2.0
3.0
4.0
m∆
OD
Time (µs)
m∆
OD
Time (µs)
SS
SS
OC12H25
C12H25ON
C8H17
τ50% = 20 µs
SS
S SOC6H13
C6H13O
SS
NC8H17
τ50% = 0.8 µs
Kinetics in organic solar cellsPolymer
hυ
e-
Charge separation
Charge recombination
h+
C60
AlITO
electron collection
holecollection
e-
h+
transport
e- transport
Light driven charge separation
Time / ps-5 0 5 10 15 20 25
Elec
tron
inje
ctio
n yi
eld
0.0
0.5
1.0
10-6 10-5 10-4 10-3 10-2 10-1
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
m∆O
D
Log10time / seconds
Ultrafastinjection Millisecond
recombination
Tachibana et al. J. Phys Chem 1996
TiO2
hν
e-
Electroninjection
Charge recombination
Model of Reaction dynamics
CB
Transport S / S+
Injection
Trapping
S* / S+
Charge recombination
TiO2 Dye
Charge recombination dynamics controlled upon electron transport and interfacial electron transfer kinetics depending
upon metal oxide and sensitiser dye employed.
Molecular Control of Recombination
k ∝ exp(-βr) where β = 0.95 ± 0.2 Å-1
Ti
Ti
RuN
N
C
C
O
OO
O
r
Clifford et al JACS 2004
Signatures of transport in recombination dynamics
2.2%50
−∝ ntn = A t-0.25
1
10
100
1000
0.001 1 1000 1000000
t50% / nse
per D
ye+
Ethanol triflate
Non-linear dependence on electron density:
t50% ∝ n-1/α
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.E+01 1.E+02 1.E+03 1.E+04 1.E+05 1.E+06 1.E+07 1.E+08
T ime (ns)
Rel
ativ
e de
nsity
of e
xcite
d dy
es S
(t)/S
0
0 mV
100mV
200mV
300mV 400mV
Dispersive (Stretched exponential) decaysStrong dependence on TiO2 EF
Haque et al. J Phys Chem B 1998, 2000, Nelson et al. Phys Rev B 1999, 2001
Recombination in MDMO-PPV/PCBM blends
polymer PCBM
π
Charge separation
Charge recombination
π∗
• Recombination kinetics dominated by slow, thermally activated power law decay resulting from
10-6 10-5 10-4 10-3 10-2 10-1
10-7
10-6
10-5
positive polaron trapping in polymer
Montanari et al. APL 2002 Nogueira et al. J Phys Chem B 2003
T = 220 K T = 298 K
∆O
D
time (s)
Recombination versus Transport in polymer / C60 devices
g(E)
10-8 10-7 10-6 10-5 10-4 10-3 10-210-7
10-6
10-5
10-4
10-3
∆ A
bsor
banc
e
75µJ data 4µJ data 0.22µJ data
0.25µJ
4µJ
75µJ
Time (s)
10-6 10-5 10-4 10-3
10-7
10-6
10-5
10-4
10-3
30V
60V
Cur
rent
Den
sity
/ ar
b. u
nits
Time / s
TAS studies of recombination TOF studies of transport
• Smooth lines from trapping/detrapping model with same dos• Same microscopic model explains both recombination and
transport• Open question of benefit of traps
Recombination versus transport in dye sensitised solar cells
Transport dynamics
Recombination to redox couple
Recombination to dye cations
TiO2 200µs 10ms 600µs
SnO2 300ns 9µs ~ 600ns
Cur
rent
Den
sity
/ A
cm-2
0.0 0.2 0.4 0.6 0.8-0.002
0.000
0.002
0.004
0.006
J sc
VocVoltage/V
TiO2
SnO2
SnO2/MgO
Cur
rent
Den
sity
/ A
cm-2
0.0 0.2 0.4 0.6 0.8-0.002
0.000
0.002
0.004
0.006
J sc
VocVoltage/V
TiO2
SnO2
SnO2/MgO
CB
Transport S / S+
Injection
Trapping
S* / S+
Recombination
TiO2 Dye
I-/I3-
Regeneration
Charge separation versus recombination
102 104 106 108 1010 10120.0
0.2
0.4
0.6
0.8
Mon
ochr
omat
ic E
ffic
ienc
yCharge separation rate / s-1
Two level system numerical model of organic solar cellBased on assumption that electronic coupling for charge separation and recombination scale proportionally.
J.Nelson et al.Phys.Rev.B 2004, Appl.Phys.A 2004
J
J
V/2 Jav
Jav
Jca
V/2
Charge separation in dye sensitised solar cells
100 101 102 103 104 105
0.0
0.5
1.0
(ii)
(i)
(ii)
(i)
Inje
ctio
n Yi
eld
time / picoseconds
Dye sensitised film
Solar cell
Haque et al. JACS 2004
Dynamics versus Device function
Electrolyte Jsc/mAcm-2 Voc /Volts η / % τ50%(inj) τinit(rec)+Li+ 16.8 0.51 5.5 ~10 ps 20 ms+Li+/tBP 16.3 0.63 7.25 ~150 ps 100 ms+tBP 7 0.73 3.75 ~ 1 ns 400 ms
Optimised device:• Injection just sufficient to compete with excited state decay to ground• Allows minimisation of recombination losses
CB /
trap
states
2
1
TiO2 Dye
I- / I3-
hv
3
D*/D+
D/D+
2
1
TiO2 Dye
I- / I3-
hv
3
D*/D+
D/D+
Influence of electrolyte composition upon density of conduction band / trap states in TiO2
Electrolyte B: No Li+
• Slow Electron Injection (1)
• Slow Charge Recombinationrates (2) & (3)
Electrolyte A: Both Li+ and 4-tert-butyl pyridine
• IntermediateElectron Injection rate (1)
• Intermediate Charge Recombination rates (2) & (3)
E
D/D
2
1
TiO2
CB /
trap
states
Dye
hv
3
I- / I3-
D*/D+
D/D++
Electrolyte C: No 4-tert-butyl pyridine
• Fast Electron Injection rate (1)
• Fast Charge Recombination rates (2) & (3)
Electrolyte control of interfacial dynamics
Optimum device performance: injection half-time ~ 150 ps
Electrolyte B+ tert-butyl pyridine
Electrolyte A+ tert-butyl pyridine and Li+
Electrolyte C+ Li+
Materials approaches to control of interfacial electron transfer dynamics
10-6 10-5 10-4 10-3 10-2 10-1
0.00
0.05
0.10
0.15
0.20
0.25
m∆O
.D.
Time / Seconds
N NN N
N NN N
CH3
CH3
H3C
H3C
N NH3CO
SO3Na
HOA
B
a b
c d
a b
c d
Al2O3coated
Uncoated
10-6 10-5 10-4 10-3 10-2
0
1
2
3
m∆O
D
Time / Seconds
TiO 2 MFHTM
DFHTM
Dye
TiO 2 MFHTM
Li + - DFHTM
Dye
+ Li+- Li+
10-6 10-5 10-4 10-3 10-2
0
1
2
3
m∆O
D
Time / Seconds
TiO 2 MFHTM
DFHTM
DyeTiO 2 MFHTM
DFHTM
Dye
TiO 2 MFHTM
Li + - DFHTM
Dye
+ Li+- Li+ N N
OCH3 OCH3
n
O
OO
O
O
OO
O
Li+ Li+
Li+- DFHTM
Haque et al.Adv Mat 2004
Haque et al. Adv Func Mat2004
Palomares et al. JACS 2003
HeterosupramolecularPhotochemistry
TiO2
hν
picoseconds
nanoseconds Supramolecularcontrol of recombination dynamics
~ 1 s
Distance control: supersensitiserfunction
1E-6 1E-5 1E-4 1E-3 0.01 0.1 10
1
N719 Pump:550nm, Probe:800nm N845 Pump:516nm, Probe:850nm
∆O.D
. (no
rmal
ized
)
Time [s]
N
N
N
NRu
NN
CSC
S
HOOC
HOOC
COOH
COOH
NN
N
NRu
NN
CSC
S
HOOC
HOOC
O
N
OCH3
OCH3
HOMO calcs:Increase in distance ~ 4 Å
e-
Hirata et al.Chem. Eur. J.2004
Influence of inhomogeneityWide bandgapsemiconductor
Adsorbed Sensitiser Dye
Electrolyte
S0 / S +
S* / S +
e-
Charge recombination
Electron injection
I-
e-
Dye re-reduction
/ I 3-
Inhomogeneous energetics result in non-exponential dynamics and make device optimisation much harder
∆inhomo
1D* / D+
E
g(E)
<di>=0
d1
d2
g1g0g2
TiO2 Dye
Modelling electron injection energetics
Monte Carlo Simulation as detailed in:Tachibana et al. (2002) J. Photochem Photobiol A: ChemistryOnly fit parameters k(0) and ratio ∆/E0
100 101 102 103 104 105
0.0
0.5
1.0
(ii)
(i)
(ii)
(i)
Inje
ctio
n Yi
eld
time / picoseconds
( ) ( ) ( )( ) ( ) ⎟⎟
⎠
⎞⎜⎜⎝
⎛==
02
2 2exp00
0Edk
VdV
kdk iii Inhomogeneous broadening
∆inhomo ~ 0.15 eV film∆inhomo ~ 0.3 eV DSSC
g(E)∝ exp(E/E0)
Excited state decay
to ground
Hole transfer in solid state DSSC’s:
Valence Band
Conduction Band
S0 / S+
S* / S+
e-
Wide bandgap semiconductor
Adsorbed Sensitiser Dye
HTM/HTM+
e-
Hole transporting material
Dye re-reduction
Hole transfer ~ 300 ps(Another example of kinetic redundency!)Hole transfer controlled by thermodynamics not kinetics
N N
OCH3
H3CO
OCH3
OCH3
NN
OCH3
OCH3
OCH3
H3CO
Hole transfer yield as function of mean reaction free energy
-0.4 -0.2 0.0 0.2 0.40
20
40
60
80
100
Yie
ld o
f hol
e tra
nsfe
r / %
∆G(Dye-HTM) / eV
Homogeneous Model
Inhomogeneous Model
Distribution of D/D+ states
Vacuum Level
IP
+Em(HTM/HTM+)
Em(D/D+)
∆G(Dye-HTM) = Em(HTM+/ HTM) – Em(D+/ D)
Experimental data Inhomogeneous Model
N N
R2
R3
R1
R4
Haque et al . Chem Phys Chem (2003)
Minimisation of energetic inhomogeneity
-0.4 -0.2 0.0 0.2 0.40
20
40
60
80
100
Dye
rege
nera
tion
effic
ienc
y / %
∆G(dye-HTM)
ITO
/ eV
TiO2 Dye HTM / Li+
TiO2 Dye HTM
Li+
Li+
Li+Li+
Li+
Li+
Li+ Li+
Li+
Li+
ITO
- Li+
+ Li+
-0.4 -0.2 0.0 0.2 0.40
20
40
60
80
100
Dye
rege
nera
tion
effic
ienc
y / %
∆G(dye-HTM)
ITO
/ eV
TiO2 Dye HTM / Li+
TiO2 Dye HTM
Li+
Li+
Li+Li+
Li+
Li+
Li+ Li+
Li+
Li+
ITO
- Li+
+ Li+
ITO
/ eV
TiO2 Dye HTM / Li+TiO2 Dye HTM / Li+
TiO2 Dye HTM
Li+Li+
Li+Li+
Li+Li+Li+Li+
Li+Li+
Li+Li+
Li+Li+ Li+Li+
Li+Li+
Li+Li+
ITO
- Li+
+ Li+
Ionic screening by Li+ ions reduces inhomogeneity of hole transfer energetics
N N
O
OO
OO
OO
O
R2
R3
R1
R4Li+ Li+
2[(CF3SO2)2]-
N N
R2
R3
R1
R4
Conclusions
• Exciting times for organic PV• Optimisation of electron transfer dynamics
in organic PV requires consideration of:– Recombination versus transport, and the role of
traps – Charge separation versus recombination and the
potential for interface engineering– Energetic inhomogeneities
AcknowledgementsColleagues at Imperial College:Colleagues at Imperial College:Jenny Nelson, Jenny Nelson, DonalDonal Bradley, David Bradley, David KlugKlugSteffan Cook, Ana Flavia Nogueira, Ivan Montanari, Samantha HandaEmilio Palomares, Saif Haque, Narukuni Hirata, Alex Green, Hari Upadahyaya, John Clifford
Collaborations:Michael Gratzel (EPFL), Jan Kroon (ECN)Andrew Holmes (Cambridge / ICL), Serdar Sariciftci (Linz)Christoph Brabec (Siemens/Konarka), Nazario Martin (Madrid), Kees Hummelen (Groningen), Merck Chemicals, Dow Chemicals, Covion GmbH, Johnson Matthey Ltd.
FundingFunding::EPSRC, DTI, EU, BP