Fallon J M Colberts1, Martijn M Wienk1,2, René A J Janssen1,2. 1. Molecular Materials and Nanosystems, Institute for Complex Molecular Systems, Eindhoven University of Technology , P.O. Box 513, 5600 MB, Eindhoven, The Netherlands. 2. Dutch Institute for Fundamental Energy Research , De Zaale 20, 5612 AJ, Eindhoven, The Netherlands.
Abstract
Polymer solar cells based on PDPP5T and PCBM as donor and acceptor materials, respectively, were processed from aqueous nanoparticle dispersions. Careful monitoring and optimization of the concentration of free and surface-bound surfactants in the dispersion, by measuring the conductivity and ζ-potential, is essential to avoid aggregation of nanoparticles at low concentration and dewetting of the film at high concentration. The surfactant concentration is crucial for creating reproducible processing conditions that aid in further developing aqueous nanoparticle processed solar cells. In addition, the effects of adding ethanol, of aging the dispersion, and of replacing [60]PCBM with [70]PCBM to enhance light absorption were studied. The highest power conversion efficiencies (PCEs) obtained are 2.0% for [60]PCBM and 2.4% for [70]PCBM-based devices. These PCEs are limited by bimolecular recombination of photogenerated charges. Cryo-TEM reveals that the two components phase separate in the nanoparticles, forming a PCBM-rich core and a PDPP5T-rich shell and causing a nonoptimal film morphology.
Polymer solar cells based on PDPP5T and PCBM as donor and acceptor materials, respectively, were processed from aqueous nanoparticle dispersions. Careful monitoring and optimization of the concentration of free and surface-bound surfactants in the dispersion, by measuring the conductivity and ζ-potential, is essential to avoid aggregation of nanoparticles at low concentration and dewetting of the film at high concentration. The surfactant concentration is crucial for creating reproducible processing conditions that aid in further developing aqueous nanoparticle processed solar cells. In addition, the effects of adding ethanol, of aging the dispersion, and of replacing [60]PCBM with [70]PCBM to enhance light absorption were studied. The highest power conversion efficiencies (PCEs) obtained are 2.0% for [60]PCBM and 2.4% for [70]PCBM-based devices. These PCEs are limited by bimolecular recombination of photogenerated charges. Cryo-TEM reveals that the two components phase separate in the nanoparticles, forming a PCBM-rich core and a PDPP5T-rich shell and causing a nonoptimal film morphology.
Organic photovoltaics
(OPV) have attracted considerable interest in the past decade as a
sustainable future energy source. One of its virtues is the ability
to process the photoactive layers from solutions or inks, which enables
high throughput printing and roll-to-roll coating, reducing the fabrication
costs and giving the opportunity to use flexible substrates.[1,2] Furthermore, advantages as light weight, thinness, semitransparency,
and color tunability make OPV attractive for modern life applications.[3−5] Driven by these benefits, considerable research efforts have been
dedicated to improving the performance of OPV devices, resulting in
numerous new semiconducting polymers with high charge carrier mobility
and optimized energy alignment.[6,7] Combined with a better
understanding of the effect of polymer structure and processing on
the electron donor–electron acceptor bulk heterojunction (BHJ)
morphology, the power conversion efficiency (PCE) of OPVs has increased
to exceed 11% for single-junction solar cells.[8−10] However, the
vast majority of record efficiency solar cells have been processed
from chlorinated solvents such as chlorobenzene, 1,2-dichlorobenzene
(o-DCB), or chloroform, which are harmful to people’s
health and environment.[11−15] Processing the active layer from nonchlorinated solvents requires
new insights and efforts to control the morphology.[10,16]An ecofriendly strategy to use high-performance solar cell
materials is their precipitation in ethanol, as has been reported
by Gartner et al.[17] and Sankaran et al.[18] for solar cells based on poly(3-hexylthiophene)
(P3HT) and indene-C60 bisadduct (ICBA). These provide PCEs
over 4%; however, the method seems sensitive to the specific material
combination used because such high PCEs have not yet been achieved
for other materials. An alternative method is the miniemulsion technique
introduced by Landfester for conjugated materials.[19] The advantages of this method are that (i) nanoparticles
(NPs) can be made in the most ecofriendly solvent that exists, namely
water, (ii) the NPs are stabilized, which may offer the benefit of
using a variety of material combinations, and (iii) the nanoscale
morphology is fixed in a single nanoparticle in a prestadium of depositing
the active layer.The PCEs of aqueous minielemusion NP solar
cells are less than those of conventional BHJs, e.g. when using a
photoactive layer based on P3HT and [6,6]-phenyl-C61-butyric
acid methyl ester ([60]PCBM). The thermal annealing of the active
layer, which is essential to merge the aqueous NPs, also cause P3HT
and [60]PCBM to crystallize and form large donor and acceptor domains
that lower the performance.[20,21] A comparison between
P3HT that crystallizes under thermal treatment and a polymer that
is crystalline as spun has been reported by Dam et al., where NPs
have been synthesized from P3HT:[60]PCBM and poly[4,8-bis(2-ethylhexyloxy)benzo(1,2-b:4,5-b′)dithiophene-alt-5,6-bis(octyloxy)-4,7-di(thiophen-2-yl) (2,1,3-benzothiadiazole)-5,5′-diyl]
(PSBTBT):[60]PCBM.[22] Scanning transmission
X-ray microscopy (STXM) showed that in both cases a core–shell
morphology was formed where the core was [60]PCBM-rich and the shell
polymer-rich. This phase separation was attributed to the high and
very similar water contact angle of the polymers compared to that
of [60]PCBM. Dam et al. showed that the shell constituted >80%
of the total NP volume and that a higher PCE can be obtained relative
to the BHJ performance when the shell composition is closer to the
optimized BHJ composition. According to Holmes et al. the shell composition
can be optimized by varying the polymer:[60]PCBM ratio.[21] Instead of using rather crystalline donorpolymers
such as P3HT and PSBTBT, Holmes et al. reported working NP solar cells
based on the amorphous polymerpoly[2,3-bis(3-octyloxyphenyl)quinoxaline-5,8-diyl-alt-thiophene-2,5-diyl] (TQ1) in combination with [6,6]-phenyl-C71-butylric acid methyl ester ([70]PCBM).[23] The high glass transition temperature of TQ1 (Tg ∼ 100 °C) with respect to that of P3HT (Tg ∼ 12 °C)[24] prevents phase separation upon mild thermal annealing of the active
layer.[23] Also for this material combination,
a core–shell morphology was observed by STXM and transmission
electron microscopy (TEM). Thermal treatment above the glass transition
temperature of the polymer-rich shell allowed the shells of neighboring
particles to merge together and [70]PCBM to locally diffuse. Optimization
of the annealing conditions resulted in an optimized morphology with
connecting pathways between the [70]PCBM-rich cores. These TQ1:[70]PCBM
solar cells gave a PCE of 2.54%.In contrast to the often-obtained
core–shell morphology, D’Olieslaeger et al. reported
that poly([9-(1′-octylnonyl)-9H-carbazole-2,7-diyl]-2,5-thiophenediyl-2,1,3-benzothiadiazole-4,7-diyl-2,5-thiophene-diyl)
(PCDTBT):[70]PCBM NPs do not show a phase-separated morphology.[25] This has been confirmed by TEM and scanning
TEM (STEM) in combination with electron energy-loss spectroscopy.
Recently, D’Olieslaeger et al. achieved a PCE of 3.8% utilizing
poly[(5,6-dihydro-5-octyl-4,6-dioxo-4H-thieno[3,4-c]pyrrole-1,3-diyl)[4,8-bis[(2-ethylhexyl)oxy]benzo[1,2-b:4,5-b′]dithiophene-2,6-diyl]]
(PBDTTPD):[70]PCBM, which is the highest performance reported for
aqueous NP solar cells to date.[26]In this work, we investigate aqueous NP dispersions of a diketepyrrolopyrrole–quinquethiophene
alternating copolymer (PDPP5T) and [60]PCBM (Figure ), prepared via the miniemulsion method.
PDPP5T is an example of a modern semicrystalline small band gap polymer
exhibiting a relatively good PCE of 6% in regular BHJ blends with
fullerenes. We have extensively studied morphology formation for PDPP5T–fullerene
mixtures for conventional BHJ blends.[27] This allows for a direct comparison with layers obtained from aqueous
nanoparticle dispersions. We demonstrate that the surfactant concentration
in the dispersion is a critical parameter that must be optimized in
film formation to balance between aggregation of NPs at low concentration
and film dewetting at a high concentration. The amount of free and
surface-bound surfactant in the dispersion can be monitored via the
conductivity and ζ-potential, which improved the reproducibility
of the solar cells with a performance of ∼1.5% when properly
controlled. The PCE can be improved to approximately 2.0% by aging
the dispersion or adding ethanol. By replacing [60]PCBM with [70]PCBM,
a further increase of PCE to 2.4% is achieved. The main limitation
of the NP photoactive later is the extent of bimolecular recombination,
which leads to a low short-circuit current density (JSC) and fill factor (FF). Cryo-TEM was used to analyze
the suboptimal morphology that causes the bimolecular recombination.
Figure 1
Molecular
structures of (a) PDPP5T and (b) [60]PCBM. (c) Principle of the miniemulsion
method.
Molecular
structures of (a) PDPP5T and (b) [60]PCBM. (c) Principle of the miniemulsion
method.
Experimental
Section
Nanoparticle Synthesis
Poly[[2,5-bis(2-hexyldecyl)-2,3,5,6-tetrahydro-3,6-dioxopyrrolo[3,4-c]pyrrole-1,4-diyl](3‴,4′-dihexyl[2,2′:5′,2″:5″:,2‴:5‴,2′′′′-quinquethiophene]-5,5′′′′-diyl)]
(PDPP5T)[28] and [60]PCBM or [70]PCBM (Solenne
BV) were dissolved in a 1:2 weight ratio in chloroform (30 mg in 0.75
mL) and stirred for 1 h at 90 °C. Solutions of SDS (Acros Organics)
in ultrapure water were prepared separately at different concentrations.
The chloroform solution was added to the aqueous SDS solution under
vigorous stirring. The emulsion was then directly sonicated with a
Sonics Vibracell VC 750 (Sonics & Materials Inc.) for 4 min at
30% amplitude. The resulting miniemulsion was stirred for 4 h at 60 °C
in a round-bottom flask heated by an oil bath to evaporate chloroform.
Excess SDS was removed by dialysis utilizing dialysis tubing (10 kDa,
10 mm flat width) (Sigma-Aldrich) and stirring overnight in 5 L of
water. After overnight dialysis, the water was refreshed, and dialysis
was continued until the desired conductivity was reached. To increase
the concentration of the dispersion to 37.5 mg/mL, it was concentrated
by centrifugal dialysis utilizing Amicon Ultra-4 Centrifugal Filters
with a 10 kDa membrane (Milipore) at 2000 relative centrifugal force.
Solar Cell Fabrication
Photovoltaic devices
were made by either spin coating a ZnO sol gel layer or ethoxylated-polyethylenimine
(PEIE) layer on cleaned, patterned indium tin oxide (ITO) substrates
in air (14 Ω per square) (Naranjo Substrates). The ZnO sol gel
was prepared by dissolving Zn(OAc)2 (Sigma-Aldrich) (109.6
mg) in 2-methoxyethanol (Sigma-Aldrich) (1 mL) and adding ethanolamine
(Sigma-Aldrich) (30.2 μL). Then, the mixture was stirred at
room temperature for at least 1 h. This sol gel was spin coated at
4000 rpm and annealed for 5 min at 150 °C under ambient conditions.
PEIE dissolved in 2-propanol (2.24 mg/mL) was spin coated at 5000
rpm and annealed at 150 °C for 10 min. NPs were spin coated on
top of the electron transporting layer and dried for 5 min at 110
°C. To wash off the surfactant, the devices were washed in a
water/ethanol mixture (500 mL, 50:50 v/v) for 30 min under continuous
stirring. Subsequently, the layers were dried for 5 min at 110 °C
to remove the water, after which they were transferred to a glovebox,
where they were annealed at 140 °C for 10 min. To make a BHJ,
PDPP5T and [60]PCBM were dissolved in a 1:2 weight ratio in chloroform
to a concentration of 18 mg/mL to which 4.8 vol % o-DCB was added.
This solution was spin coated at 2000 rpm on a glass/ITO/PEIE substrate
to obtain an active layer thickness of 100 nm. The devices were finished
by evaporating MoO3 (10 nm) and Ag (100 nm) as top electrode
under a vacuum of ∼3 × 10–7 mbar. The
active area of the cells was 0.09 or 0.16 cm2, which gave
similar results.
Characterization
Dynamic light scattering (DLS) was measured with a Malvern Zetasizer
μV on diluted samples (∼0.09 mg/mL) at 25 °C. The
laser wavelength was 830 nm, and measurements were performed in disposable,
plastic, low-volume cuvettes. DLS measures the hydrodynamic diameter.
For a nonspherical particle, DLS will give the diameter of a sphere
that has the same average translational diffusion coefficient as the
particle being measured. The mean particle size was calculated by
integrating the intensity distribution, and the final result represents
the average from five measurements. The standard deviation is about
4%. Z-average sizes were not used because not all
dispersions showed a unimodal particle size distribution.Conductivity
and ζ-potential (ZP) were measured with a Malvern instruments
Zetasizer Nano-ZS at 20 °C. To measure the conductivity of the
dispersion during dialysis, the dispersion was removed from the dialysis
tube, measured, and placed back in the same membrane to continue dialysis.
For all devices prepared in this work (except where noted otherwise),
the conductivity of the dispersions was measured. For ZP measurements,
diluted dispersions were used with a concentration of 0.09 mg/mL.
The laser wavelength was 633 nm, and measurements were performed in
disposable folded cuvettes (Malvern Zetasizer Nano Series DTS1070).Transmission electron microscopy (TEM) samples were prepared by
floating of the active layer from a ZnO sol gel layer. The ZnO layer
was dissolved in acidified water after which the active layer was
transferred to a 200 square mesh copper grid. For analyzing the layers,
a Tecnai G2 Sphere was used with a high tension of 200 kV at a magnification
range of 1150× to 80 000× and corresponding defocus
values of −10 μm and −400 nm, respectively. To
avoid beam damage to the sample, the beam was blocked in low-dose
mode while moving to another position at the sample. For cryo-TEM,
dispersions with a concentration of 3 mg/mL were used and analyzed
with a FEI Titan TEM. Samples were prepared by a Vitrobot, where 3 μL
of the dispersion was placed on a 100 holey carbon coated 200 square
mesh copper grid (Quantafoil, R2/2). Excess of sample was removed
by blotting with a filter paper, and then the sample was frozen in
liquid ethane. The samples were analyzed at a magnification range
of 6500× to 61 000× with a defocus ranging from −20
μm to −250 nm, respectively.Atomic force microscopy
(AFM) was measured in tapping mode using a Veeco MultiMode. PPP-NCHR-50
tips were purchased from Nanosense.Optical absorption was measured
with a PekinElmer Lambda 900 UV/vis/near IR spectrophotometer. The
absorption was measured on diluted dispersion and solution samples
which had concentrations of 0.09 and 0.06 mg/mL, respectively. The
spectra were measured with respect to a reference sample containing
either water or a mixture of chloroform with 4.8 vol % o-DCB. Films were prepared by spin coating the solution and dispersion
on a glass substrate containing an electron transporting layer. Optical
modeling was performed within the transfer matrix formalism using
the complex refractive index and the thicknesses of all materials
in the layer stack as input. Calculations were performed with Setfos
4.3 (Fluxim, AG, Switzerland).Current density–voltage
(J–V) curves were measured
under simulated solar light of 100 mW/cm2. This was achieved
by a Hoya LB100 daylight filter that was placed in between the solar
cell and a tungsten–halogen lamp. To perform a J–V sweep, a Keithley 2400 sourcemeter was
used. All measurements were conducted in a nitrogen-filled glovebox.
Device performances are quoted as maximum power (Pmax, mW/cm2) when the short-circuit current
density (JSC) was obtained from the J–V curve measured under simulated solar light of
100 mW/cm2 and as PCE (%) when JSC was determined more accurately from the external quantum efficiency
(EQE) by integrating the EQE with the AM1.5G solar spectrum.EQE measurements were performed in a home-built setup which consists
of a 50 W tungsten halogen lamp (Osram 64610), a mechanical chopper
(Stanford Research Systems, SR 540), a monochromator (Oriel, Cornerstone
130) and finally the device kept in a nitrogen filled box with a quartz
window which was illuminated through an aperture of 2 mm. This measurement
was also performed in combination with a continuous LED bias light
with a wavelength of 730 nm (Thorlabs). The current of this bias light
can be adjusted such that an illumination intensity equal to AM1.5G
is reached. The response was recorded using a low noise current preamplifier
(Stanford Research Systems SR 570) and lock-in amplifier (Stanford
Research Systems SR 830).
Results
and Discussion
NPs were fabricated from a 1:2 blend of PDPP5T and [60]PCBM in
chloroform using the miniemulsion method (Figure ). The chloroform solution was introduced
into water containing SDS and, after applying a high shear by sonication,
a miniemulsion is formed. Subsequent evaporation of chloroform resulted
in a stabilized dispersion of NPs in water. The initial concentration
of SDS in the miniemulsion determines the NP size, which did not change
during subsequent dialysis of the dispersion to remove excess SDS.
High SDS concentrations gave smaller NPs than did low concentrations.
By varying the SDS concentration ([SDS]) between 10.2 and 41.2 mM,
a good control over the NP size could be obtained in range of 62–34
nm (Table , Figure ).
Table 1
Nanoparticle Diameter Determined by DLS as Function of SDS Concentration
[SDS] (mM)
mean size (nm)
41.2
34
20.3
42
14.5
53
10.2
62
Figure 2
DLS measurements showing the effect of
the SDS concentration on the size of PDPP5T:[60]PCBM nanoparticles.
DLS measurements showing the effect of
the SDS concentration on the size of PDPP5T:[60]PCBM nanoparticles.
Optical
Properties
The optical absorption maximum of PDPP5T exhibits
a red shift from 680 to 708 nm when a chloroform solution of PDPP5T
and [60]PCBM is introduced into the aqueous SDS solution and subsequently
sonicated (Figure a). This red shift is characteristic for PDPP5T in an aggregated
state and results from interchain interactions and planarization of
the polymer chains.[7,29] An additional red shift of 16
nm is observed after removal of chloroform, indicating an enhanced
aggregation. Dialysis of the dispersion has no further effect on the
absorption spectrum. After dialysis, the dispersion can be concentrated,
spin coated, and subsequently annealed at 140 °C for 10 min to
form a thin film. The absorption spectrum of this film is very similar
to that of a BHJ layer processed from a chloroform:o-DCB, indicating comparable levels of aggregation of the polymer
(Figure b). Because
polymer aggregation is important for efficient charge transport, the
similar aggregation after deposition by two different processing methods
is an important observation.
Figure 3
Optical absorption spectra of PDPP5T:[60]PCBM.
(a) Solution and dispersion, recorded at various stages of the miniemulsion
method. (b) Spin coated and annealed NP film and BHJ film processed
from chloroform with 4.8 vol % o-DCB.
Optical absorption spectra of PDPP5T:[60]PCBM.
(a) Solution and dispersion, recorded at various stages of the miniemulsion
method. (b) Spin coated and annealed NP film and BHJ film processed
from chloroform with 4.8 vol % o-DCB.
Solar Cell Performance
After synthesizing the NPs the dispersion was concentrated by centrifugal
dialysis until a concentration of 37.5 mg/mL. The NPs were then applied
on a substrate (i.e., glass/ITO/ZnO or glass/ITO/PEIE) by spin coating.
For NP devices processed on PEIE, an additional washing step was performed
to remove excess surfactant from the active layer. It is known that
during drying of the active layer, the NPs coalesce and exclude SDS
to the film–air interface where they take a preferential orientation.[30,31] This was also observed for our layers, and AFM analysis showed that
these surfactants can be efficiently washed off by dipping the substrates
into a water/ethanol (50:50 v/v) mixture and subsequent drying at
110 °C (Supporting Information, Section
1). The water contact angle measured for annealed and washed NP layers
was identical to that of the conventional BHJ blend processed from
chloroform/o-DCB. Although we have no evidence of residual SDS in
the films, its presence cannot be excluded. Washing in water/ethanol
was not possible when ZnO was used as the electron transport layer
because ZnO is not resistant to the washing step. NP devices were
finished by evaporating a MoO3/Ag top contact. In this
section, we discuss relevant trends of the solar cell performance,
their reproducibility, performance optimization, and current limitations.
For comparison, a reference cell with a PCE of 5.8% (JSC,EQE = 16.6 mA/cm2, VOC = 0.58, FF = 0.60) was made by processing PDPP5T:[60]PCBM
in a 1:2 ratio from chloroform containing 4.8 vol % o-DCB.
Effect of Annealing, Layer Thickness, and
NP Size
NP devices processed on ZnO and dried at 110 °C
under ambient conditions gave a low performance (Table ). Annealing under nitrogen
for 10 min at 140 °C significantly improved the device performance
(Table ), consistent
with previous results.[21,32,33] Similar device performance was obtained for layers processed on
PEIE as the electron transport layer (Supporting Information, Section 2). Processing of the NP layers on ZnO
has the advantage that the layer can be analyzed by TEM because the
ZnO layer dissolves in acidic water such that the NP layer floats
on the water surface. This is not possible when PEIE is used. After
drying of the NP layer, separate NPs can be distinguished in TEM (Figure a). However, annealing
at 140 °C causes the NPs to coalesce into a continuous film,
and its morphology starts to approach that of a BHJ spin coated from
chloroform:o-DCB mixture (Figures b and c). Despite the positive effect of
annealing at 140 °C on the performance of NP solar cells, a negative
effect of annealing on the performance was found for chloroform:o-DCB processed BHJs (Supporting Information, Section 3). Therefore, thermal annealing may be limiting the performance
of NP devices.
Table 2
Effect of Annealing on Device Performancea
d (nm)
annealing (°C)
JSC (mA/cm2)
VOC (V)
FF
Pmax (mW/cm2)
66
110
3.35
0.45
0.43
0.65
61
140
6.65
0.49
0.41
1.36
ITO/ZnO/PDPP5T:[60]PCBM NPs/MoO3/Ag configuration. NPs were synthesized with a 41.2 mM starting
concentration of SDS. The conductivity of the dispersions used to
make these devices was not measured.
Figure 4
TEM images of PDPP5T:[60]PCBM blends at 50 000× and
a defocus value of −1 μm. (a) NP layer after drying for
5 min at 110 °C. (b) NP layer after drying and annealing for
10 min at 140 °C. (c) BHJ processed from chloroform with 4.8
vol % o-DCB.
ITO/ZnO/PDPP5T:[60]PCBM NPs/MoO3/Ag configuration. NPs were synthesized with a 41.2 mM starting
concentration of SDS. The conductivity of the dispersions used to
make these devices was not measured.TEM images of PDPP5T:[60]PCBM blends at 50 000× and
a defocus value of −1 μm. (a) NP layer after drying for
5 min at 110 °C. (b) NP layer after drying and annealing for
10 min at 140 °C. (c) BHJ processed from chloroform with 4.8
vol % o-DCB.Further optimization was performed on ITO/PEIE/PDPP5T:[60]PCBM
NPs/MoO3/Ag devices because of their higher reproducibility
of devices on PEIE compared to that on ZnO. Optimization of the layer
thickness (d) revealed that the best performance
was obtained at d ≈ 70 nm (Table ), which is thinner than the
optimum of d ≈ 100 nm for conventional BHJs
cells. With increasing layer thickness, JSC increases while the FF decreases, and VOC does not change significantly (Table ). Such trend is frequently observed in organic solar
cells and originates from a competition between increased light absorption,
resulting in more charges and stronger bimolecular charge recombination
for thicker layers. The effect of increasing JSC with increasing layer thickness up to 68 nm is caused by
a significant increase of light absorption by the polymer, contributing
to the generated current as evidenced by the EQE spectra (Figure a). The EQE spectra
also show that with increasing thickness the contribution of [60]PCBM
in the UV region decreases with a concomitant shift of the [60]PCBM
band to higher wavelengths. By modeling the absorption spectra using
the refractive index (n) and extinction coefficient
(k) of the blend (Supporting Information, Section 4) in the layer stack, it was found that
this shift is reproduced in the simulations and is due to the interference
of light (Figure b).
The decrease of this EQE band, however, is not reproduced in the modeled
spectra and indicates that the contribution of absorption of light
by [60]PCBM to the photocurrent becomes less for thicker layers. For
the polymer absorption between 550 and 850 nm, on the other hand,
the increase in EQE for thicker layers matches with the increased
absorption of light. Eventually, a small drop in EQE occurred when
increasing the thickness to 93 nm, which is likely related to the
very low FF of this device. Compared to the normal BHJ, where FF =
0.6 at d = 100 nm, the FF for the NP devices is rather
low. This suggests increased bimolecular charge recombination, which
will be addressed in Section . More details about the device statistics can be found
in the Supporting Information (Section
5).
Table 3
Performance of PDPP5T:[60]PCBM NP Cells for Different
Active Layer Thicknessa
d (nm)
JSC (mA/cm2)
VOC (V)
FF
Pmax (mW/cm2)
47
4.88
0.53
0.55
1.41
51
5.38
0.55
0.53
1.57
60
6.48
0.53
0.49
1.71
68
7.03
0.55
0.44
1.73
93
6.60
0.50
0.38
1.28
NPs synthesized with a 20.3 mM starting SDS concentration. Different
active layer thickness achieved by varying spin speed between 800–2400
rpm.
Figure 5
Effect of the thickness
of PDPP5T:[60]PCBM layers on (a) EQE and (b) the modeled absorption
spectra.
NPs synthesized with a 20.3 mM starting SDS concentration. Different
active layer thickness achieved by varying spin speed between 800–2400
rpm.Effect of the thickness
of PDPP5T:[60]PCBM layers on (a) EQE and (b) the modeled absorption
spectra.The effect of NP size on device
performance was studied using different NP dispersions. Table shows the average device performance
for four NP sizes when the active layer thickness was optimized by
adjusting the spin speed and using a constant NP of 37.5 mg/mL. In
general, JSC and PCE decrease with increasing
NP size. A possible explanation might be a decrease in D/A interface in active layers processed from larger
particles. No clear trend in FF with NP size is observed because the
FF is dominated by the layer thickness.
Table 4
Effect
of NP Size on the Device Performance
particle size (nm)a
d (nm)
JSC (mA/cm2)
VOC (V)
FF
Pmax (mW/cm2)
32
59
6.52
0.54
0.48
1.70
44
68
7.03
0.55
0.44
1.73
54
46
5.05
0.50
0.48
1.21
60
71
4.88
0.49
0.44
1.05
The size of the particles was measured after CHCl3 evaporation.
The size of the particles was measured after CHCl3 evaporation.
Reproducibility:
Conductivity and ζ-Potential Measurements
Despite the
successful fabrication of solar cells from aqueous miniemulsions,
the reproducibility is not optimal. As an example, the second entry
of Table and the
first entry of Table are nominally almost the same cells but differ in Pmax (1.36 vs 1.70 mW/cm2). This variability
is caused by fluctuations in the SDS concentration in the final dispersion
between different runs. The rate of SDS removal during dialysis is
highly sensitive to stirring speed, the shape of the dialysis container,
the amount of water, and the surfactant concentration in the dispersion
and water phase. To monitor SDS concentration in the dispersion during
dialysis, conductivity (κ) and ζ-potential measurements
were performed. The conductivity is a measure for the amount of free
surfactant, while the ζ-potential measures the surface charge
and reflects the amount of surfactant bound to the surface of the
particle. The ζ-potential gives valuable information about the
stability of the dispersion obtained by electrostatic forces between
particles. Figure a shows that during overnight dialysis the conductivity steeply decreases.
After the water is refreshed, the conductivity decreases further,
and the time of dialysis is critical to the final SDS concentration.
Because the SDS in the solution is in equilibrium with SDS adsorbed
to the particles,[34] the ζ-potential
increases toward less negative surface charge during the dialysis.
This results in less stable dispersions and ultimately aggregation,
especially after concentrating. Figure b shows that the particle size increased after concentrating
a dispersion with a low SDS concentration, while no aggregation occurred
when the SDS concentration was higher.
Figure 6
(a) Conductivity and
ζ-potential of a dispersion during dialysis. The final point
called “dispersion” resembles the conductivity of the
concentrated dispersion. (b) Effect of the final conductivity of the
dispersion on the size of the NPs with low (upper graph) and high
(lower graph) conductivity.
(a) Conductivity and
ζ-potential of a dispersion during dialysis. The final point
called “dispersion” resembles the conductivity of the
concentrated dispersion. (b) Effect of the final conductivity of the
dispersion on the size of the NPs with low (upper graph) and high
(lower graph) conductivity.The SDS concentration also dramatically affects quality of
the spin coated layers. When the SDS concentration is too high, holes
are formed because of dewetting (Figure ), but when the SDS concentration is too
low, electrical shorts are formed because aggregation of NPs under
these conditions creates rough active layers with pin holes (Supporting Information, Section 6). Only when
a balance between the two is achieved by controlling the surfactant
concentration can reproducible solar cell performance be obtained. Table shows the relation
between the conductivity (related to [SDS]) and the device performance.
Further details about the statistics can be found in Section 7 of
the Supporting Information. For 42 nm sized
NPs (Table ), the
optimal balance between dewetting and aggregation occurs at a conductivity
of 9.88 × 10–2 mS/cm. For smaller NPs of 34
nm, a higher optimal conductivity (∼1.9 × 10–1 mS/cm) was required because the concentration of free surfactants
scales with the increased total surface area (Supporting Information, Section 8). We conclude that conductivity
and ζ-potential tracking during dialysis are effective to monitor
the free and bound SDS concentrations, thereby avoiding dewetting
and aggregation. However, it must be noted that the solar cell performance
is sensitive to small deviations from optimal conductivity, requiring
careful tracking of the dialysis speed.
Figure 7
Images of the spin coated
active layers from dispersions with decreasing conductivity: (a) κ
= 1.47 × 10–1 mS/cm. (b) κ = 7.19 ×
10–2 mS/cm. (c) κ = 6.95 × 10–2 mS/cm.
Table 5
Performance of Solar
Cells from Dispersions with Different Conductivity Levelsa
κ (mS/cm)
aggregation
JSC (mA/cm2)
VOC (V)
FF
Pmax (mW/cm2)
6.95 × 10–2
yes
4.09
0.50
0.43
0.88
7.19 × 10–2
slightly
5.63
0.50
0.48
1.33
9.88 × 10–2
no
5.62
0.53
0.51
1.55
1.28 × 10–1
no
shorted
1.47 × 10–1
no
shorted
2.06 × 10–1
no
shorted
NPs were synthesized with a 20.3
mM starting SDS concentration.
Images of the spin coated
active layers from dispersions with decreasing conductivity: (a) κ
= 1.47 × 10–1 mS/cm. (b) κ = 7.19 ×
10–2 mS/cm. (c) κ = 6.95 × 10–2 mS/cm.NPs were synthesized with a 20.3
mM starting SDS concentration.
Improving Solar Cell Performance
When
[60]PCBM is replaced by [70]PCBM as electron acceptor in the NPs,
the optical absorption in the range of 400–600 nm increased
(Supporting Information, Section 9). As
a result, the short-circuit current density significantly improved,
resulting in a maximum PCE of 2.36% for PDPP5T:[70]PCBM NP cells (Table and Supporting Information, Section 10) when using procedures
for preparation and dialysis of the NPs the same as those for PDPP5T:[60]PCBM.
This level of performance is comparable to optimized NP solar cells
from other materials.[22,23,25,33,35−37] For the NP cells with [70]PCBM as acceptor, we found a similar trade-off
between an increasing JSC and decreasing
FF for thicker films (Table ) as that found for [60]PCBM (Table ). The reduction in FF for thicker layers
is attributed to increased bimolecular recombination. This can be
seen by measuring the EQE with and without bias light (Figure ) because the ratio of the
EQE measured under AM1.5G equivalent bias light and the EQE measured
under low light intensity, ρ = EQEbias/EQEno bias (integrated over the AM1.5 G spectrum), deceases when bimolecular
recombination increases.[38]Table reveals that ρ and concomitantly
FF, decrease with increasing thickness (Table ).
Table 6
Performance of PDPP5T:[70]PCBM
NP Cells for Different Active Layer Thicknessa
d (nm)
JSC (mA/cm2)
JSC, EQE (mA/cm2)
VOC (V)
FF
Pmax (mW/cm2)
PCE (%)
ρ
67
10.70
9.84
0.53
0.42
2.35
2.31
0.82
50
9.34
9.15
0.54
0.47
2.38
2.36
0.89
36
6.70
7.00
0.51
0.50
1.69
1.77
0.94
NPs were synthesized with a 41.2 mM
starting SDS concentration.
Figure 8
EQE of PDPP5T:[70]PCBM
NP solar cells without (open symbols) and with (solid symbols) light
bias (730 nm) for three different active layer thicknesses.
NPs were synthesized with a 41.2 mM
starting SDS concentration.EQE of PDPP5T:[70]PCBM
NP solar cells without (open symbols) and with (solid symbols) light
bias (730 nm) for three different active layer thicknesses.NPs were synthesized with a 20.3 mM starting SDS concentration.It has been reported that the
efficiency of aqueous NP solar cells can be enhanced by the addition
of 20 vol % ethanol to the dispersion.[35,37,39] Our results confirm this for PDPP5T:[60]PCBM NP devices
(Table ). Addition
of ethanol improves the JSC and PCE. To
avoid aggregation of the NPs, ethanol has to be added carefully. To
this end, we first concentrated the dispersion to ∼75 mg/mL
and then slowly added ethanol in water to reach 37.5 mg/mL with 20
vol % ethanol.
Table 7
Effect of Adding
Ethanol to the Dispersion on the Device Performancea
d (nm)
ethanol (vol %)
JSC, EQE (mA/cm2)
VOC (V)
FF
PCE (%)
62
0
4.54
0.57
0.50
1.30
63
20
6.58
0.56
0.54
1.99
NPs were synthesized with a 20.3 mM starting SDS concentration.
Interestingly, also aging of the PDPP5T:[60]PCBM
NP dispersions is beneficial for the device performance. Solar cells
fabricated over a period of 10 days from a single batch of 44 nm sized
NPs (Table and Supporting Information, Section 11) show improved
performance with time due to a significant increase in JSC (Table ) and EQE (Figure ) after the first day. The best device was made after 1 day of aging
with a PCE of 2.03% (JSC, EQE = 9.07
mA/cm2, VOC = 0.51 V, FF =
0.44, see Supporting Information, Section
12). After two days, similar efficiencies were obtained. On prolonged
aging, the average performance dropped slightly, caused by a slowly
decreasing JSC, but the changes with time
are close to the experimental error.
Table 8
Effect
of Aging on Solar Cell Performance for 44 nm NP Dispersions
day
d (nm)
JSC (mA/cm2)
VOC (V)
FF
Pmax (mW/cm2)
0a
75
6.72
0.51
0.45
1.54
1
85
9.20
0.48
0.43
1.93
2
81
8.32
0.53
0.47
2.04
5
86
8.31
0.51
0.44
1.89
9
80
8.00
0.50
0.46
1.85
Day 0 corresponds to the day at which the dialysis was performed
and the dispersion was concentrated.
Figure 9
EQE spectra of the best PDPP5T:[60]PCBM NP devices fabricated from
a dispersion without aging (black symbols) and after one day of aging
(green symbols).
Day 0 corresponds to the day at which the dialysis was performed
and the dispersion was concentrated.EQE spectra of the best PDPP5T:[60]PCBM NP devices fabricated from
a dispersion without aging (black symbols) and after one day of aging
(green symbols).A similar positive effect
of one-day aging, although less pronounced, has been observed for
a 31 nm sized NP dispersion, which is illustrated in the Supporting Information (Section 13).ζ-potential
measurements were performed to find the cause for this beneficial
aging effect. For the 44 nm sized NPs, the surface charge decreases
from −39 ± 1.8 mV at day 0 to −30 ± 2.1 mV
at day 1. During further storage, the ζ-potential remains within
experimental error. Apparently, a stabilization time is necessary
after concentrating the dispersion to restore the balance between
free and bound surfactants. It is known that ionic stabilization of
particles can hamper the film formation.[30,31] When an aqueous dispersion is spin coated on a substrate, the film
formation process consists out of several steps: (i) water evaporation,
(ii) packing of NPs, (iii) deformation, and finally (iv) coalescence
into a homogeneous film. Surfactant molecules stabilizing the NP dispersion
can negatively influence the coalescence due to electrostatic repulsion.
We think that the reduction in ζ-potential promotes the coalescence
and the formation of the particles into a continuous film. The enhanced
film formation after aging improves charge transport and increases JSC.A similar mechanism resulting in improved
film formation may also be responsible for the improved performance
when ethanol is added to the dispersion (Table ) because ethanol can influence the balance
between surface-bound and free surfactant. Both methods gave similar
PCEs up to 2%. Because aging is a more gentle method and, unlike adding
of ethanol, does not cause aggregation of the particles (Supporting Information, Section 14), aging improves
both performance and reproducibility.
Morphology
Studied by Cryo-TEM
In this study, a maximum PCE of 2.03%
with [60]PCBM and 2.36% with [70]PCBM was achieved for NP solar cells
based on PDPP5T. The performance is less than that of conventional
BHJ cells and likely limited by a nonoptimized morphology. The morphology
of the active layer is in these NP systems is determined by the degree
of mixing between the two compounds in a single NP. Cryo-TEM was performed
to visualize the NPs in the aqueous dispersion (Figure ). NPs made from PDPP5T appear
elongated, while particles made from [60]PCBM are spherical. This
difference in shape is likely related to the semicrystalline nature
of PDPP5T. Nonspherical nanoparticles in aqueous miniemulsions have
previously been observed for liquid-crystalline and crystalline polymers.[33,40−42] The shape anisotropy is attributed to the underlying
order of the polymer chains in the nanoparticle.[40] When combining the two materials in one particle, the NP
shape is prolate (elongated) spheroid. The particle size observed
by TEM corresponds to the one measured by DLS. Interestingly, the
particles have a dark core surrounded by a light colored shell (inset
of Figure b), which
can be due to phase separation within the particle. On the basis of
contrast differences in the cryo-TEM measurements, a shell thickness
between 3–6 nm was estimated. Contrast differences in bright-field
TEM can be caused by thickness and compositional variations. For the
pure PDPP5T and pure [60]PCBM particles, there is no strong contrast
change toward the outside of the particles. Hence, the nonuniform
contrast of the mixed particles can be interpreted as a core–shell
morphology. The surface tensions (γ) of PDPP5T (20.2 mN/m) and
[60]PCBM (35.4 mN/m), as determined from contact angle measurements
using Neumann’s method, differ considerably. Because of its
lower surface tension, PDPP5T is expected on the outside, and [60]PCBM
is expected on the inside. The phase separation during drying of these
two compounds in a chloroform solution has shown that the PDPP5T and
[60]PCBM are incompatible due to a high Flory–Huggins interaction
parameter.[43] A core–shell morphology
of NPs in aqueous dispersions was also observed for other material
combinations having similar differences in surface tension.[20,22,23,36,44,45] In our view,
such core–shell morphology limits the performance of the NP
solar cells.
Figure 10
Cryo-TEM of aqueous NP dispersions after evaporation of
chloroform. (a) PDPP5T (24 000× , −5 μm defocus).
(b) PDPP5T:[60]PCBM in a 1:2 weight ratio (48 000× , −2.5
μm defocus). The inset shows magnification of a single particle
which indicates the core and shell. (c) [60]PCBM (61 000×
, −250 nm defocus).
Cryo-TEM of aqueous NP dispersions after evaporation of
chloroform. (a) PDPP5T (24 000× , −5 μm defocus).
(b) PDPP5T:[60]PCBM in a 1:2 weight ratio (48 000× , −2.5
μm defocus). The inset shows magnification of a single particle
which indicates the core and shell. (c) [60]PCBM (61 000×
, −250 nm defocus).
Conclusions
We investigated solar cells
based on PDPP5T and [60]PCBM processed from aqueous nanoparticle dispersions.
The size of the mixed PDPP5T:[60]PCBM nanoparticles can be controlled
by varying the surfactant (SDS) concentration at the start of the
process. The SDS concentration in the NP dispersion used for preparing
the photovoltaic layers is important in the film forming process.
A too-high SDS concentration causes dewetting, while a too-low concentration
results in aggregation of the NPs. Both give rise to shorted devices
and limit the reproducibility of the device performance. By controlling
the amount of free and surface-bound SDS via measuring the conductivity
and ζ-potential of the dispersions, solar cells can be made
reproducibly.We further showed that (i) replacing [60]PCBM
by [70]PCBM to increase light absorption, (ii) addition of ethanol
to the dispersion, or (iii) aging the dispersion for one day results
in improved performance. Aging for one day results in a reduction
of the surface charge of the NPs and improves film formation. Optimized
NP cells based on PDPP5T with [60]PCBM and [70]PCBM gave power conversion
efficiencies of 2.0 and 2.4%, respectively.The PCEs of the
PDPP5T:PCBM NP solar cells still fall short compared to those of optimized
bulk heterojunction solar cells. This is caused by nonoptimized morphology,
which results in more pronounced bimolecular recombination, reducing
the FF and limiting the optimal thickness of the photoactive layer
to a range where a too-small fraction of light is absorbed and thereby
reducing the short-circuit current density (JSC). Cryo-TEM suggest that the NPs possess a core–shell-like
morphology with PDPP5T dominating in the shell of the particle and
PCBM in the center. This hampers electron collection and thereby enhances
bimolecular recombination. Further research can focus on exploring
how such core–shell morphology can be prevented and if this
improves device performance.
Authors: Timothy S Gehan; Monojit Bag; Lawrence A Renna; Xiaobo Shen; Dana D Algaier; Paul M Lahti; Thomas P Russell; Dhandapani Venkataraman Journal: Nano Lett Date: 2014-08-12 Impact factor: 11.189
Authors: Jun Zhao; Ann Swinnen; Guy Van Assche; Jean Manca; Dirk Vanderzande; Bruno Van Mele Journal: J Phys Chem B Date: 2009-02-12 Impact factor: 2.991
Authors: Furqan Almyahi; Thomas R Andersen; Nathan A Cooling; Natalie P Holmes; Matthew J Griffith; Krishna Feron; Xiaojing Zhou; Warwick J Belcher; Paul C Dastoor Journal: Beilstein J Nanotechnol Date: 2018-02-20 Impact factor: 3.649