While solution-processed bulk-heterojunction organic solar cells (OSCs) continue to attract attention as their efficiencies approach 20%, the physical origin of the non-radiative energy loss in OSCs remains under debate. Understanding the temperature dependence of open-circuit voltage (VOC) is thus important because it provides unique insights into the origin of energy loss. Herein, we simulate the VOC vs T relation of PTB7-Th:PC71BM bulk-heterojunction OSCs within the range of 160–295 K by incorporating experimentally measured temperature-dependent mobilities into the drift-diffusion model, assuming bimolecular recombination as the primary recombination mechanism. Significantly, we find that the temperature dependence of VOC can only be correctly reproduced by the model when the temperature dependence of the carrier mobilities is taken into account. The effect of the Langevin reduction coefficient on the temperature dependence of VOC is also investigated.

Organic solar cells (OSCs) continue to attract interest with power conversion efficiencies approaching 20%, increasing their viability for commercialization.1,2 While recent efficiency improvement is encouraging, the physical origin of the open-circuit voltage (VOC) loss and the maximum achievable VOC is still under debate. One of the areas yet to be fully understood is the temperature dependence of VOC.3–8 Temperature is a key parameter associated with many important processes in a bulk-heterojunction (BHJ) solar cell, such as charge transport and recombination. Getting an accurate description of the temperature dependence of VOC is especially important since it is related to the physical origin of nonradiative loss. 9,10 This is because the non-radiative loss in OSCs, which is the energy lost through nonradiative pathways, is closely related to thermally activated processes and is thus temperature dependent. Understanding the temperature dependence of VOC is also of practical interest because the extrapolation of VOC vs T curves to 0 K is often used to estimate the maximum achievable VOC or the charge transfer state energy (ECT), since the bimolecular recombination is expected to vanish with the temperature approaching 0 K.

Indeed, as experimentally observed by Vandewal et al., the linear extrapolation of the VOC vs T curve and the ECT vs T curve to 0 K was found to result in the same value, providing an intrinsic limit to the maximum achievable VOC of OSCs.8 However, it has also been shown that the VOC vs T curve undergoes a drastic turnover at low temperatures for some donor:acceptor BHJ devices, which questions the validity of linear extrapolation of VOC to 0 K. Such a VOC drop was first attributed to entropy-driven charge generation, which decreases at low temperatures.7 Another proposed physical origin is that the Gaussian density of states effectively alters the molecular energy levels and replaces the effective bandgap E g with ( E g σ n 2 + σ p 2 2 k T ),4,11 which can lead to a drastic VOC drop at low temperatures. While these two explanations are not in favor of the linear description of the VOC vs T relation, it is also argued that the temperature dependence of VOC can be affected by high leakage current that competes with the photocurrent and becomes significant enough to decrease VOC at low temperatures.6,12,13 This suggests that VOC turnover at low temperatures does not originate from the intrinsic properties of the BHJ layer materials. Furthermore, the VOC vs T relationship may also show nonlinear saturation at low temperatures subject to the energetic barriers at the contacts,14,15 which also does not originate from the intrinsic properties of BHJ layers. The coherent agreement of experimental measurement and numerical simulation is yet to be obtained for the temperature-dependent VOC of BHJ organic solar cells. Therefore, this paper studied the physical origin of the temperature-dependent VOC using PTB7-Th:PC71BM as a model system, combining experimental measurement and numerical simulations.

The influence of temperature on VOC is complicated by multiple factors, and one of the most important factors is the temperature-dependent recombination rate,16 since it changes the product of electron and hole densities (np) and thus the quasi-Fermi level splitting. For PTB7-Th:PC71BM BHJ devices processed with the additive DIO, trap-assisted recombination is largely suppressed,17 leaving bimolecular recombination as the main recombination mechanism. The bimolecular recombination rate in OSCs is given by18,19
R = η ( μ n + μ p ) q 2 ε ( n p n i 2 ) ,
(1)
where η is the Langevin reduction coefficient, μ p/ μ n are the mobilities of holes/electrons, n/p is the charge carrier densities of electrons and holes, n i is the intrinsic charge carrier density, q is the elementary charge, and ε is the dielectric constant. Based on Eq. (1), temperature-dependent mobilities will lead to a temperature-dependent recombination rate, which may consequently impact the low-temperature VOC of OSCs. The Langevin reduction coefficient η also affects the recombination rate and subsequently affects the VOC vs T relation, but it is not likely to be temperature dependent since it is a property related to the BHJ morphology.20,21

To study the influence of temperature-dependent mobilities and the Langevin reduction coefficient on the VOC vs T relation, we first measured the temperature-dependent mobilities using the space charge-limited current (SCLC) method. We measured current density-voltage (JV) curves of electron- and hole-only devices with PTB7-Th:PC71BM as the BHJ layer at temperatures between 200 and 295 K and obtained the temperature-dependent mobilities by fitting the SCLC JV curves into the extended Mott–Gurney square law.22,23 The extracted temperature-dependent mobilities were fitted using an Arrhenius relation, and then used in the drift-diffusion simulation of the VOC vs T curve. We estimated the Langevin reduction coefficient by fitting the room-temperature JV curve of inverted BHJ PTB7-Th:PC71BM solar cell devices with a drift-diffusion model, assuming bimolecular recombination to be the only recombination mechanism. After obtaining the Langevin reduction coefficient and the temperature-dependent mobilities, the VOC vs T curve was simulated using a drift-diffusion model, including the temperature-dependent mobilities implemented by a commercial software package (Setfos 5.2, Fluxim). In our simulations, we find that although the Langevin reduction coefficient has a noticeable influence on the VOC vs T curve, the experimental VOC vs T curve can only be reproduced when the temperature-dependent mobilities are included. This highlights the critical role of temperature-dependent mobilities in determining the temperature dependence of VOC.

We start with the fabrication of single carrier devices for measuring the electron and hole mobilities at different temperatures. Hole-only devices and electron-only devices had a device architecture of ITO/PEDOT:PSS/Blend/MoO3/Ag and ITO/PEDOT:PSS/Al/Blend/Ca/Al, respectively. The blend layer was comprised of PTB7-Th:PC71BM of 1:1.5 ratio and processed using dichlorobenzene and 3 vol. % 1,8-diiodooctane as the solvent additive. More details about the fabrication and characterization are included in the supplementary material. The dark JV curves of the electron- and hole-only devices were measured at temperatures ranging between 200 K to 295 K with 20 K steps, with the obtained temperature-dependent SCLC JV curves and the fittings shown in Fig. 1.

FIG. 1.

Temperature-dependent current density-voltage characteristics of single carrier devices and fitting to Eq. (2).

FIG. 1.

Temperature-dependent current density-voltage characteristics of single carrier devices and fitting to Eq. (2).

Close modal
To describe the temperature-dependence of mobility, the extended Mott–Gurney quadratic equation, including a field enhancement factor γ introduced by Murgatroyd and Gill (MG), was used to fit the SCLC JV curves,22,23
J = 9 8 ε r ε 0 μ 0 ( V V b i ) 2 L 3 exp ( 0.891 γ V V b i L ) ,
(2)
in which μ 0 is the zero-field mobility, and γ is a field-enhancement factor. ε r ε 0 is the dielectric constant of the blend layer with ε r assumed to be 3.5 throughout the paper. V b i is the built-in field originating from the electrode work function offset, and L is the thickness of the blend layer. The experimental data are all well-fitted using Eq. 2 at all temperatures within the 200 K to 295 K range, as shown in Fig. 1. The obtained temperature-dependent μ 0 and γ are plotted against 1 / T in Fig. 2(a) and (b). As shown in Fig. 2, both μ 0 and γ are linearly dependent on 1 / T within the temperature range of interest. The following analysis was applied to extract temperature-dependent parameters.
FIG. 2.

(a) Temperature-dependent electron ( μ n ) and hole mobility ( μ p ) and fitting to Eq. (3). (b) Temperature-dependent gamma and fitting to Eq. (4). The values are averaged values of more than five independent devices, and the errors are standard deviation values of all measurements on different devices. All fitting parameters are summarized in Table I.

FIG. 2.

(a) Temperature-dependent electron ( μ n ) and hole mobility ( μ p ) and fitting to Eq. (3). (b) Temperature-dependent gamma and fitting to Eq. (4). The values are averaged values of more than five independent devices, and the errors are standard deviation values of all measurements on different devices. All fitting parameters are summarized in Table I.

Close modal
TABLE I.

Fitting parameters obtained from fitting the temperature-dependent zero-field mobility and the field dependence factor.

Electron-only device
E a  0.18 ± 0.01  eV 
μ *  2.0 ± 0.5  cm2 V−1 s−1 
B  ( 3.8 ± 0.2 ) × 10 24  V cm0.5 V−0.5 
T 0  256 ± 3 
Electron-only device
E a  0.18 ± 0.01  eV 
μ *  2.0 ± 0.5  cm2 V−1 s−1 
B  ( 3.8 ± 0.2 ) × 10 24  V cm0.5 V−0.5 
T 0  256 ± 3 
Hole-only device
E a  0.17 ± 0.01  eV 
μ *  1.1 ± 0.4  cm2 V−1 s−1 
B  ( 4.3 ± 0.2 ) × 10 24  V cm0.5 V−0.5 
T 0  227 ± 1 
Hole-only device
E a  0.17 ± 0.01  eV 
μ *  1.1 ± 0.4  cm2 V−1 s−1 
B  ( 4.3 ± 0.2 ) × 10 24  V cm0.5 V−0.5 
T 0  227 ± 1 
The temperature dependence of zero-field mobility is described by the following Arrhenius relation:24,
μ 0 ( T ) = μ * exp ( E a k T ) ,
(3)
where E a is the activation energy, μ * is the mobility at zero electric field and T , k is the Boltzmann constant, and T is the temperature. Fitting of reasonable quality was achieved (within errors as determined by the standard deviation obtained from measuring and fitting multiple devices) as shown in Fig. 2(a). The obtained E a values are 0.18 and 0.17 eV for electrons and holes, respectively, which is very close to the values reported for the same donor:acceptor system.25 The obtained values of μ * are 2.0 ± 0.5 cm2 V−1 s−1 and 1.1 ± 0.4 cm2 V−1 s−1 for electrons and holes, which are lower than the universal value 10 cm2 V−1 s−1 observed for disordered organic semiconducting materials,24 which is probably due to the fact that we measured BHJ devices here while the universal value was measured for devices comprised of neat materials. The field dependence γ ( T ) is then fitted to an empirical temperature-dependent expression first used by Gill,26,
γ ( T ) = B [ 1 k T 1 k T 0 ] ,
(4)
in which B and T 0 are two constant coefficients, with B represents the slope of γ vs 1 / T and T 0 the temperature at which γ equals zero. 4 Reasonable accuracy has been achieved for the single carrier devices measured as shown in Fig. 2(b), and the values obtained for B and T 0 are comparable to those obtained for other donor:acceptor BHJ devices reported in the reference.25 

Although Arrhenius-type relationships are used to describe the temperature-dependent mobility and temperature dependence of γ, it is noted that the Gaussian disorder model (GDM) and its extended variants are also widely used, in which the mobilities follow a 1 / T 2 temperature dependence.27,28 Felekidis et al. recently investigated and analyzed the mobilities of a wide range of polymer:fullerene blends using both Arrhenius-type relations and GDM models. They found that the Arrhenius analysis leads to an accurate description for most of the measured materials.25 Moreover, theoretical modeling considering tens of parameters reflecting the chemistry of the materials recently conducted by Fornari et al. found that the steady-state charge mobilities in the low carrier density and low electric field limit depend only on the effective structural disorder and electron–phonon coupling.29 Their results support the experimental observation of a universal Arrhenius thermally activated charge transport in diodes consisting of disordered organic semiconductors.24 Because of the above-mentioned reasons, we used the Arrhenius-type analysis for the temperature-dependent mobilities. A good agreement between data and fittings was achieved within the temperature of interest, as shown in Fig. 2.

After obtaining the temperature-field-dependent mobility parameters, we investigate the temperature dependence of the VOC of the BHJ device, which has an inverted architecture of ITO/PEIE/BHJ/MoO3(12 nm)/Ag(100 nm).6 For the illumination of OSC devices in the cryostat, a Thorlabs MWWHL3 warm white mounted LED driven by a Thorlabs DC2100 LED driver was used for temperature-dependent light JV measurement. Light intensities were adjusted to produce a similar JSC and VOC to that under AM 1.5 G illumination. The VOC values were then extracted from temperature-dependent JVs and plotted against temperature, with the obtained VOC vs T relation shown as the solid red circles in Fig. 3(b).

FIG. 3.

(a) Fitting of current–voltage characteristics measured under 1-sun conditions to the drift-diffusion model to extract the Langevin reduction coefficient. The obtained Langevin reduction coefficient is 0.03. (b) Measured temperature-dependent open-circuit voltage (symbols) and simulated temperature-dependent open-circuit voltage (lines) conducted with either constant (dashed line) or temperature-dependent (solid line) mobilities. The parameters used for the simulation with constant mobilities are presented in Table II. For the simulation with temperature-dependent mobilities, the mobility parameters used are extracted from experimental measurements as summarized in Table I, with the other parameters the same as the ones used for the simulation with constant mobilities. All the simulations were conducted using the commercial software Setfos.

FIG. 3.

(a) Fitting of current–voltage characteristics measured under 1-sun conditions to the drift-diffusion model to extract the Langevin reduction coefficient. The obtained Langevin reduction coefficient is 0.03. (b) Measured temperature-dependent open-circuit voltage (symbols) and simulated temperature-dependent open-circuit voltage (lines) conducted with either constant (dashed line) or temperature-dependent (solid line) mobilities. The parameters used for the simulation with constant mobilities are presented in Table II. For the simulation with temperature-dependent mobilities, the mobility parameters used are extracted from experimental measurements as summarized in Table I, with the other parameters the same as the ones used for the simulation with constant mobilities. All the simulations were conducted using the commercial software Setfos.

Close modal
TABLE II.

Drift-diffusion simulation parameters used in Setfos.

Simulation Parameters
Optical generation efficiency  0.8   
Langevin reduction coefficient  0.03   
HOMO  5.2  eV 
LUMO  3.9  eV 
N0, HOMO  2 × 10 25  m−3 
N0, LUMO  2 × 10 25  m−3 
Active layer thickness  120  nm 
μ n at room temperature  1.6 × 10 3  cm2V−1s−1 
μ h at room temperature  1.3 × 10 3  cm2V−1s−1 
Simulation Parameters
Optical generation efficiency  0.8   
Langevin reduction coefficient  0.03   
HOMO  5.2  eV 
LUMO  3.9  eV 
N0, HOMO  2 × 10 25  m−3 
N0, LUMO  2 × 10 25  m−3 
Active layer thickness  120  nm 
μ n at room temperature  1.6 × 10 3  cm2V−1s−1 
μ h at room temperature  1.3 × 10 3  cm2V−1s−1 

Before simulating the temperature-dependence of VOC, the Langevin reduction coefficient η is estimated by fitting the room-temperature JV curve to a drift-diffusion model, considering a constant mobility of 1.6 × 10 3 cm2V−1s−1 for electrons and 1.3 × 10 3 cm2V−1s−1 for holes, with both values obtained from the SCLC measurements at room temperature. N0, HOMO, and N0, LUMO were set as 2 × 10 25 m−3, same as the values used for P3HT:PCBM in the reference.30 The local value of η optimized by the Levenberg–Marquardt method in the commercial software Setfos, with a value of 0.03 obtained as the Langevin reduction coefficient. The obtained value is comparable to the values commonly used for donor:acceptor organic photovoltaics.31 As shown in Fig. 3(a), the fitted JV curve is in reasonable agreement with the experimental data, with some discrepancy in current density observed around VOC, leading to a higher fill factor in the simulation. Such a discrepancy is possibly due to trap-assisted recombination, which can lead to a lower fill factor (but does not effectively change VOC) that is not accounted for in the simulation. Although trap-assisted recombination exists, it is insignificant in PTB7-Th:PC71BM processed with solvent additive DIO,17 hence does not affect the VOC vs T relation in this system. The parameters that describe the temperature-field-dependent mobilities are shown in Table I and other parameters used to simulate the temperature-dependent VOC are shown in Table II. The probability of charge separation P is assumed to be constant at all temperatures. The assumption of constant charge photogeneration is supported by temperature-independent charge photocarrier generation found in photophysical measurements for polymer:fullerene blends.5 Simulations including the temperature-field-dependent mobilities describe the VOC vs T relation well, as shown in Fig. 3(b). In contrast, the discrepancy between the experimental data and the simulation using constant mobilities is significant, highlighting the critical role of the temperature dependence of mobilities in determining the VOC vs T relationship. We did not include the effect of shunt resistance or series resistance in our simulations, since we found the simulation without the resistance can adequately reproduce the experimental results within the measured temperature range.

While the fact that the VOC vs T relation cannot be simulated using constant mobilities suggests the critical role that temperature-dependent mobilities play in determining the VOC vs T relation, the Langevin reduction coefficient η may also affect the VOC vs T relation as indicated by Eq. (1). Therefore, to further investigate the influence of Langevin reduction coefficient η, we simulated the VOC vs T relation using varied η with both constant mobilities and temperature-dependent mobilities, as presented in Fig. 4(a) and (b), respectively. Comparing Fig. 4(a) and (b) highlights the critical role of temperature-dependent mobilities in determining the VOC vs T relation of solar cell devices. As shown in Fig. 4(a), although increasing η can lead to a steeper VOC vs T relation, even the simulation with an ideal Langevin recombination ( η = 1) cannot reproduce the experimentally measured VOC vs T relation. In contrast, the simulation with temperature-dependent mobilities presented in Fig. 4(b) shows that the VOC vs T relation is steeper than in Fig. 4(a). Also, the fact that the experimental data fall in between the simulations with Langevin reduction coefficients of 0.1 and 0.01 supports that 0.03 is indeed a reasonable estimation. Most importantly, Fig. 4(b) suggests that although increasing η can lead to a larger VOC vs T slope, the contribution from the temperature-dependent mobilities is critical, and the experimental VOC vs T relation cannot be reproduced without considering temperature-dependent mobilities. Lower mobilities lead to a smaller reduced Langevin recombination rate as temperature decreases. Assuming a temperature-independent generation rate for the measured system, 5 a lower recombination rate consequently shifts the generation-recombination kinetic balance and results in a higher open-circuit voltage than the values predicted by the constant mobility model.

FIG. 4.

Simulated temperature-dependent open-circuit voltage for different Langevin reduction coefficients with (a) constant mobilities given in Table II and (b) temperature-dependent mobilities presented in Table I. The experimentally measured VOC vs T data (stars) are plotted for comparison.

FIG. 4.

Simulated temperature-dependent open-circuit voltage for different Langevin reduction coefficients with (a) constant mobilities given in Table II and (b) temperature-dependent mobilities presented in Table I. The experimentally measured VOC vs T data (stars) are plotted for comparison.

Close modal

To test the validity of this method at lower temperatures, mobilities between 120 and 295 K were extracted using the previously described SCLC method, and the obtained parameters that describe the temperature-dependent mobilities were used for modeling the temperature-dependent VOC within this range. Furthermore, conventional BHJ devices with the same active layer were fabricated and modeled using the same method (with the same set of parameters for temperature-dependent mobilities). The temperature-dependent mobility data and the details of fitting are shown in Fig. S3 and Table SI. Since the Langevin reduction coefficient η is an estimated parameter and may introduce deviations, values between 0.01 and 0.1 were used in simulations and shown as the colored regions for comparison with the experimental data in Fig. 5. Simulations with η = 0.1 are used as the lower boundary and simulations with η = 0.01 are used as the upper boundary for the colored regions in Fig. 5. The simulations for two architectures with η = 0.05 are also plotted as guides of eyes for readers. As shown in Fig. 5, the model describes the data reasonably well at temperatures above 160 K for PTB7-Th:PC71BM inverted and conventional BHJ devices. Other physical mechanisms of charge recombination/transport mechanisms in the BHJ layer may exist at temperatures lower than 160 K or in other donor:acceptor systems,32 and temperature-independent parameters assumed for this system can be temperature-dependent in other systems/at lower temperatures.33 However, one should carefully make sure that VOC measured at lower temperatures/for other materials are not limited by factors other than the BHJ charge transport/recombination processes by measuring devices of different architectures.

FIG. 5.

Validity test of the method with different device architectures within a wider temperature range.

FIG. 5.

Validity test of the method with different device architectures within a wider temperature range.

Close modal

To conclude, we have simulated the VOC vs T relation of PTB7-Th:PC71BM inverted BHJ solar cells between 160 and 295 K using experimentally measured temperature-dependent mobilities. To understand the effect of the Langevin reduction coefficient and temperature-dependent mobilities on the VOC vs T relation, we have additionally simulated the influence of varying the Langevin reduction coefficient with constant and temperature-dependent mobilities. Our simulations indicate that for PTB7-Th:PC71BM solar cells, the temperature dependence of the carrier mobilities is critical in constructing the correct VOC vs T relation. It is important to investigate whether the VOC vs T relation of OSCs consisting of other state-of-the-art donor:acceptor materials can also be described using this method in the future as it can provide information about the dominant charge transport and recombination mechanisms in these devices.

See the supplementary material for details regarding the device fabrication, temperature-dependent characterization and analysis, and device energy-level diagram.

Y. T. and G. L acknowledge the funding support by the Australian Research Council Centre of Excellence in Exciton Science (Grant No. CE170100026).

The authors have no conflicts to disclose.

Yahui Tang: Conceptualization (lead); Data curation (lead); Formal analysis (lead); Methodology (lead); Writing – original draft (lead); Writing – review & editing (equal). Girish Lakhwani: Conceptualization (supporting); Formal analysis (supporting); Methodology (supporting); Resources (equal); Writing – review & editing (equal). Christopher Robert McNeill: Conceptualization (supporting); Formal analysis (supporting); Methodology (supporting); Resources (equal); Writing – review & editing (equal).

The data that support the findings of this study are available from the corresponding author upon reasonable request.

1.
A.
Karki
,
A. J.
Gillett
,
R. H.
Friend
, and
T. Q.
Nguyen
, “
The Path to 20% Power Conversion Efficiencies in Nonfullerene Acceptor Organic Solar Cells
,”
Adv Energy Mater
11
,
2003441
(
2021
).
2.
J.
Luke
,
L.
Corrêa
,
J.
Rodrigues
,
J.
Martins
,
M.
Daboczi
,
D.
Bagnis
, and
J. S.
Kim
, “
A Commercial Benchmark: Light-Soaking Free, Fully Scalable, Large-Area Organic Solar Cells for Low-Light Applications
,”
Adv Energy Mater
11
,
2003405
(
2021
).
3.
V. V.
Brus
,
N.
Schopp
,
S. J.
Ko
,
J.
Vollbrecht
,
J.
Lee
,
A.
Karki
,
G. C.
Bazan
, and
T. Q.
Nguyen
, “
Temperature and Light Modulated Open-Circuit Voltage in Nonfullerene Organic Solar Cells with Different Effective Bandgaps
,”
Adv Energy Mater
11
,
2003091
(
2021
).
4.
G.
Garcia-Belmonte
, “
Temperature dependence of open-circuit voltage in organic solar cells from generation–recombination kinetic balance
,”
Sol. Energy Mater. Sol. Cells
94
,
2166
2169
(
2010
).
5.
W. J.
Grzegorczyk
,
T. J.
Savenije
,
T. E.
Dykstra
,
J.
Piris
,
J. M.
Schins
, and
L. D. A.
Siebbeles
, “
Temperature-Independent Charge Carrier Photogeneration in P3HT−PCBM Blends with Different Morphology
,”
J. Phys. Chem. C
114
,
5182
5186
(
2010
).
6.
Y.
Tang
,
J. M.
Bjuggren
,
Z.
Fei
,
M. R.
Andersson
,
M.
Heeney
, and
C. R.
McNeill
, “
Origin of Open-Circuit Voltage Turnover in Organic Solar Cells at Low Temperature
,”
Sol. RRL
4
(
11
),
2000375
(
2020
).
7.
F.
Gao
,
W.
Tress
,
J.
Wang
, and
O.
Inganäs
, “
Temperature dependence of charge carrier generation in organic photovoltaics
,”
Phys. Rev. Lett.
114
,
128701
(
2015
).
8.
K.
Vandewal
,
K.
Tvingstedt
,
A.
Gadisa
,
O.
Inganäs
, and
J. V.
Manca
, “
Relating the open-circuit voltage to interface molecular properties of donor: Acceptor bulk heterojunction solar cells
,”
Phys. Rev. B
81
,
125204
(
2010
).
9.
S. M.
Menke
,
N. A.
Ran
,
G. C.
Bazan
, and
R. H.
Friend
, “
Understanding Energy Loss in Organic Solar Cells: Toward a New Efficiency Regime
,”
Joule
2
,
25
35
(
2018
).
10.
S.
Xie
,
Y.
Xia
,
Z.
Zheng
,
X.
Zhang
,
J.
Yuan
,
H.
Zhou
, and
Y.
Zhang
, “
Effects of Nonradiative Losses at Charge Transfer States and Energetic Disorder on the Open-Circuit Voltage in Nonfullerene Organic Solar Cells
,”
Adv Funct Mater
28
(
5
),
1705659
(
2018
).
11.
J. C.
Blakesley
and
D.
Neher
, “
Relationship between energetic disorder and open-circuit voltage in bulk heterojunction organic solar cells
,”
Phys. Rev. B
84
,
075210
(
2011
).
12.
W.
Yang
,
Y.
Luo
,
P.
Guo
,
H.
Sun
, and
Y.
Yao
, “
Leakage Current Induced by Energetic Disorder in Organic Bulk Heterojunction Solar Cells: Comprehending the Ultrahigh Loss of Open-Circuit Voltage at Low Temperatures
,”
Phys Rev Appl
7
,
044017
(
2017
).
13.
H. H.
Gullu
,
D. E.
Yıldız
,
S. O.
Hacioglu
,
A.
Cirpan
, and
L.
Toppare
, “
Dark conduction mechanisms of PTQBDT based heterojunction diode
,”
Phys. Scr.
98
(
1
),
015819
(
2023
).
14.
M.
Mingebach
,
C.
Deibel
, and
V.
Dyakonov
, “
Built-in potential and validity of the Mott-Schottky analysis in organic bulk heterojunction solar cells
,”
Phys. Rev. B
84
,
153201
(
2011
).
15.
D.
Rauh
,
A.
Wagenpfahl
,
C.
Deibel
, and
V.
Dyakonov
, “
Relation of open circuit voltage to charge carrier density in organic bulk heterojunction solar cells
,”
Appl Phys Lett
98
,
133301
(
2011
).
16.
Y.
Liu
,
K.
Zojer
,
B.
Lassen
,
J.
Kjelstrup-Hansen
,
H. G.
Rubahn
, and
M.
Madsen
, “
Role of the Charge-Transfer State in Reduced Langevin Recombination in Organic Solar Cells: A Theoretical Study
,”
J. Phys. Chem. C
119
,
26588
26597
(
2015
).
17.
Z.
Li
,
G.
Lakhwani
,
N. C.
Greenham
, and
C. R.
McNeill
, “
Voltage-dependent photocurrent transients of PTB7:PC70BM solar cells: Experiment and numerical simulation
,”
J Appl Phys
114
,
034502
(
2013
).
18.
L. J. A.
Koster
,
V. D.
Mihailetchi
, and
P. W. M.
Blom
, “
Bimolecular recombination in polymer/fullerene bulk heterojunction solar cells
,”
Appl Phys Lett
88
,
052104
(
2006
).
19.
G.
Lakhwani
,
A.
Rao
, and
R. H.
Friend
, “
Bimolecular recombination in organic photovoltaics
,”
Annu. Rev. Phys. Chem.
65
,
557
581
(
2014
).
20.
P.
Zalar
,
M.
Kuik
,
N. A.
Ran
,
J. A.
Love
,
T.-Q.
Nguyen
,
P.
Zalar
,
M.
Kuik
,
N. A.
Ran
,
J. A.
Love
, and
T.-Q.
Nguyen
, “
Effects of Processing Conditions on the Recombination Reduction in Small Molecule Bulk Heterojunction Solar Cells
,”
Adv Energy Mater
4
,
1400438
(
2014
).
21.
G. J. A. H.
Wetzelaer
,
N. J.
Van Der Kaap
,
J. A.
Koster
, and
P. W. M.
Blom
, “
Quantifying Bimolecular Recombination in Organic Solar Cells in Steady State
,”
Adv Energy Mater
3
,
1130
1134
(
2013
).
22.
C. R.
McNeill
,
S.
Westenhoff
,
C.
Groves
,
R. H.
Friend
, and
N. C.
Greenham
, “
Influence of nanoscale phase separation on the charge generation dynamics and photovoltaic performance of conjugated polymer blends: Balancing charge generation and separation
,”
J. Phys. Chem. C
111
,
19153
19160
(
2007
).
23.
P.
Blom
,
M.
de Jong
, and
M.
van Munster
, “
Electric-field and temperature dependence of the hole mobility in poly(p-phenylene vinylene)
,”
Phys. Rev. B
55
,
R656
(
1997
).
24.
N. I.
Craciun
,
J.
Wildeman
, and
P. W. M.
Blom
, “
Universal Arrhenius temperature activated charge transport in diodes from disordered organic semiconductors
,”
Phys. Rev. Lett.
100
,
056601
(
2008
).
25.
N.
Felekidis
,
A.
Melianas
, and
M.
Kemerink
, “
Automated open-source software for charge transport analysis in single-carrier organic semiconductor diodes
,”
Org Electron
61
(
March
),
318
328
(
2018
).
26.
W. D.
Gill
, “
Drift mobilities in amorphous charge‐transfer complexes of trinitrofluorenone and poly‐n‐vinylcarbazole
,”
J Appl Phys
43
(
12
),
5033
(
1972
).
27.
J. C.
Blakesley
,
H. S.
Clubb
, and
N. C.
Greenham
, “
Temperature-dependent electron and hole transport in disordered semiconducting polymers: Analysis of energetic disorder
,”
Phys. Rev. B
81
,
045210
(
2010
).
28.
M.
Kuik
,
G.-J. A. H.
Wetzelaer
,
H. T.
Nicolai
,
N. I.
Craciun
,
D. M.
De Leeuw
,
P. W. M.
Blom
,
N. I.
Craciun
,
D. M.
De Leeuw
,
W. M.
Blom
,
M.
Kuik
,
G.-J. A. H.
Wetzelaer
, and
H. T.
Nicolai
, “
25th Anniversary Article: Charge Transport and Recombination in Polymer Light-Emitting Diodes
,”
Adv. Mater.
26
,
512
531
(
2014
).
29.
R. P.
Fornari
,
P. W. M.
Blom
, and
A.
Troisi
, “
How Many Parameters Actually Affect the Mobility of Conjugated Polymers?
,”
Phys. Rev. Lett.
118
,
086601
(
2017
).
30.
L. J. A.
Koster
,
E. C. P.
Smits
,
V. D.
Mihailetchi
, and
P. W. M.
Blom
, “
Device model for the operation of polymer/fullerene bulk heterojunction solar cells
,”
Phys. Rev. B
72
,
085205
(
2005
).
31.
Y.
Wu
,
Y.
Li
,
B.
van der Zee
,
W.
Liu
,
A.
Markina
,
H.
Fan
,
H.
Yang
,
C.
Cui
,
Y.
Li
,
P. W. M.
Blom
,
D.
Andrienko
, and
G. J. A. H.
Wetzelaer
, “
Reduced bimolecular charge recombination in efficient organic solar cells comprising non-fullerene acceptors
,”
Sci. Rep.
13
,
4717
(
2023
).
32.
L.
Perdigón-Toro
,
L. Q.
Phuong
,
F.
Eller
,
G.
Freychet
,
E.
Saglamkaya
,
J. I.
Khan
,
Q.
Wei
,
S.
Zeiske
,
D.
Kroh
,
S.
Wedler
,
A.
Köhler
,
A.
Armin
,
F.
Laquai
,
E. M.
Herzig
,
Y.
Zou
,
S.
Shoaee
, and
D.
Neher
, “
Understanding the Role of Order in Y-Series Non-Fullerene Solar Cells to Realize High Open-Circuit Voltages
,”
Adv Energy Mater
12
,
2103422
(
2022
).
33.
C. C. S.
Chan
,
C.
Ma
,
X.
Zou
,
Z.
Xing
,
G.
Zhang
,
H.-L.
Yip
,
R. A.
Taylor
,
Y.
He
,
K. S.
Wong
, and
P. C. Y.
Chow
, “
Quantification of Temperature-Dependent Charge Separation and Recombination Dynamics in Non-Fullerene Organic Photovoltaics
,”
Adv Funct Mater
31
,
2107157
(
2021
).

Supplementary Material