This study investigates the optimization of CsPbI3-based perovskite solar cells using SCAPS-1D simulation with a device structure of FTO/ZnO/CsPbI3/Spiro-OMeTAD/metal. Key parameters, including absorber thickness, defect density, acceptor concentration, and transport layer properties, were systematically analyzed. The results show that absorber thickness significantly affects device performance, with an optimal thickness of 1.6 μm yielding an efficiency of 17.66%. Optimization of defect density and acceptor concentration further enhances device performance. After overall optimization, the power conversion efficiency increases from 16.3% to 23.1%, with Voc improving from 1.19 V to 1.39 V, Jsc from 18.33 to 20.5 mA/cm2, and FF from 75.2% to 87.4%. The improvement is supported by enhanced J–V characteristics and near-unity quantum efficiency over a wide wavelength range. These results demonstrate that parameter optimization plays a crucial role in achieving high-performance CsPbI3 perovskite solar cells.
Keywords:
CsPbI3 perovskite SCAPS-1D solar cells
1. INTRODUCTION
Fossil fuels are currently the most widely used energy source. The
increasing population also requires high energy needs [1].
Thus, the increasing demand for fossil fuels drives their scarcity. To
reduce the use of fossil fuels, technological updates are needed to
utilize renewable energy sources, such as solar energy, which has
great potential [2]. Furthermore, silicon is the most
widely used semiconductor material in solar cell applications.
However, production costs for Si-based photovoltaic devices are higher
than those of other thin-film technologies, which is a significant
drawback for the continuous production of Si-based solar cells.
Therefore, since 2009, perovskite materials have become a choice
for use as semiconductors in solar cell systems [3].
Perovskite solar cells have attracted attention because they are
relatively inexpensive and easy to manufacture, and their excellent
performance has spurred significant research. The efficiency of
perovskite solar cells has increased from 3.8% to 25.2% in a short
time from 2009 to 2021 [4]. In 2009, perovskite halides
were first used as visible-light sensitizers in dye-sensitized solar
cells, achieving a power conversion efficiency (PCE) of 3-4%.
Perovskite halide shows extraordinary optoelectronic properties,
making this semiconductor very good for photovoltaic applications.
Perovskite solar cells exhibit good stability, with a PCE of 9.7%
reported in 2012. These advancements have driven extensive research
into the optoelectronic properties of perovskite materials,
particularly their high absorption coefficient, long carrier diffusion
length, and tunable bandgap [5].
Among various perovskite materials, organic-inorganic hybrid
perovskites such as methylammonium lead iodide
(MAPbI3)
have been extensively studied due to their high efficiency and
excellent light-harvesting capability. In our previous studies,
MAPbI3-based
perovskite solar cells have been investigated using various
optimization approaches, including modification of the electron
transport layer via doping [6], control of
TiO2
thickness [7], adjustment of precursor molarity
[8], and surface passivation with FAI and MAI
[9], which have yielded significant improvements in device
performance. Furthermore, precise optical characterization using
techniques such as spectroscopic ellipsometry has been identified as a
critical factor for the continuous advancement and performance
enhancement of these perovskite-based devices [10].
However, despite their promising performance,
MAPbI3-based
solar cells still suffer from stability issues, particularly under
thermal stress and moisture exposure [11,12,13]. To
overcome these limitations, researchers have explored all-inorganic
perovskite materials such as cesium lead iodide
(CsPbI3),
which offer improved thermal stability and better resistance to
environmental degradation [14,15,16].
CsPbI3
has attracted considerable attention due to its suitable bandgap and
potential for high photovoltaic performance.
In developing perovskite solar cells, theoretical optimization can
be used to minimize material consumption and fabrication time and to
study the effects of various factors. SCAPS-1D is software for
simulating one-dimensional solar cells. This software is widely used
to optimize factors affecting the efficiency of perovskite solar cells
[17]. Aseena et al. (2020) simulate the optimization of
perovskite solar cell layers with different thicknesses
[18]. This study shows that maximum efficiency is achieved
by optimizing the absorber layer thickness relative to other layers.
Another group simulated the performance of
CsPbI3
heterojunction perovskite solar cells using SCAPS-1D [19].
Under optimal conditions, the PCE of the
CsPbI3
heterostructure increased from 13.1% to 20.2%. Chowdhury et al.
simulate the effect of the defect density in the absorber layer on the
efficiency of perovskite solar cells [20]. This study
explains the detrimental impact of density defects on solar cell
performance and how to mitigate this by increasing the absorber layer
thickness. Reyes et al. studied the effect of acceptor concentration
(Na)
and the absorber layer’s defect density on the efficiency of solar
cells [21]. This study shows that an increase in
Na
can increase the efficiency of the solar cell.
In this study, the performance of
CsPbI3-based
perovskite solar cells is systematically investigated using SCAPS-1D
simulation. While individual parameter optimizations are common, our
study provides a comprehensive simultaneous optimization mapping that
specifically focuses on the interplay between the all-inorganic
CsPbI3
absorber and the specific combination of ZnO and Spiro-OMeTAD
transport layers. We have highlighted how our unique parameter space
exploration yields a highly optimized theoretical efficiency, which
serves as a robust and necessary benchmark to guide future
experimental fabrication of these specific device architectures. The
simulation evaluates the effects of key parameters on device
performance, including absorber-layer thickness, defect density
(Nt),
and acceptor concentration (Na).
Furthermore, the influence of transport layers is also analyzed by
varying the thickness of the electron transport layer (ETL) and hole
transport layer (HTL), as well as the donor density
(Nd)
of the ETL. In addition, the effect of operating temperature on device
performance is examined to assess thermal stability under different
conditions. Finally, the overall device performance is evaluated
through current density–voltage (J–V) characteristics and quantum
efficiency (QE) analysis to provide a comprehensive understanding of
the optimized solar cell.
2. METHODS
The material structure is FTO as the transparent conducting oxide
(TCO), ZnO as the electron transport layer (ETL),
CsPbI3
as the absorber layer, and Spiro-OMeTAD as the hole transport layer
(HTL). The composition of the perovskite structure to be optimized is
presented in Figure 1. Moreover,
Table 1 presents the physical
characteristics used in the SCAPS-1D software for numerical analysis.
The physical and optical parameters for the ZnO transport layer, such
as defect density and electronic transitions, were specifically chosen
based on detailed experimental characterizations of spray-fabricated
ZnO thin films reported in our previous works [22,23].
Table 2 presents the light source
parameters, using the solar radiation spectrum of AM 1.5G, a power
density of 100 mW/cm2,
and a working temperature of 300 K [24]. In this study,
the parameters varied were the thickness of each layer (absorber, ETL,
and HTL), defect density (Nt),
acceptor concentration (Na),
donor density, and working temperature. Optimal conditions were
strictly defined as the precise combination of physically realistic
parameters that maximizes the Power Conversion Efficiency (PCE).
Thickness is an important parameter that increases efficiency in
increasing current density. Increasing the absorber layer thickness
can increase charge-carrier generation by increasing light absorption
in the material [18].
Figure 1. Design of a perovskite solar cell
structure.
Table 1. Physical characteristics of the solar cell layers used for
simulation.
Acceptor concentration is an important parameter to optimize
efficiency, as altering the acceptor concentration primarily modulates
the material’s electrical conductivity, carrier concentration, and
built-in potential (Vbi)
[21]. Optimal doping shifts the Fermi energy level closer
to the valence band, thereby enhancing the built-in electric field
(Vbi)
at the junction, which effectively promotes charge separation and
directly boosts the Open Circuit Voltage
(Voc).
Nt
is very important because it can affect the efficiency of the solar
cell. Defect density is the number of defects in a material based on a
specific energy. Therefore, SCAPS-1D can vary the effect of
Nt
on the efficiency of the solar cell. Defect density is based on the
Shockley-Read-Hall model (Eq. 1):
R=np−ni2τp(n+n1)+τn(p+p1)(1)
where n
and p
are the electron and hole concentrations obtained by continuity and
Poisson equations. The cell characteristics studied are efficiency,
J-V characterization, open circuit voltage
(Voc),
short circuit current (Jsc),
and Fill Factor (FF). FF is calculated by equating the maximum power
(Pmax)
with the theoretical power (PT)
that will produce Jsc
and Voc.
The ratio of energy output to energy input from solar energy is Power
Conversion Efficiency (PCE), as in Eqs. 2 and 3
[21]:
FF=PmaxJsc×Voc(2)
PCE(%)=Voc×Jsc×FFPin×100(3)
3. RESULTS AND DISCUSSIONS
3.1 Validation of simulation
Before proceeding with the detailed parameter optimization, the
baseline simulation results of our unoptimized
CsPbI3
solar cell model were compared with experimental data of similar
CsPbI3
architectures available in recent literature. This direct comparison
demonstrates that our initial model parameters yield highly
realistic device performance metrics, thereby validating the
fundamental physical models and material definitions utilized within
our SCAPS-1D simulation framework.
3.2 Thickness of absorber layer
Figure 2 is the J-V curve
obtained from the simulation. Figure
3 shows the simulation
results for the effect of the absorber layer thickness on efficiency
(PCE), Voc,
Jsc,
and FF with a thickness variation of 100–2000 nm. As the absorber
layer thickness increases, efficiency increases, reaching a maximum
of 17.66% at 1600 nm. The CsPbI3
material reaches its fundamental absorption depth limit around 1
μm,
meaning it absorbs nearly all incident photons with energies above
its bandgap. Consequently, increasing the thickness beyond this
optimal point does not significantly contribute to additional
photogeneration, but instead unnecessarily increases the travel
distance for charge carriers, which subsequently raises the
probability of non-radiative recombination before they can be
effectively collected at the electrodes. This correlation between
device efficiency and absorber thickness is inherently non-linear.
The non-linearity arises from the fundamental physical competition
between two opposing processes within the semiconductor: the
generation of charge carriers and their subsequent recombination.
Initially, the rapid increase in efficiency is heavily dominated by
enhanced photon absorption and carrier generation; however, as the
thickness continues to grow, the recombination rate begins to
dominate due to longer carrier transit times, causing the efficiency
curve to flatten and eventually decline [27]. Therefore,
finding the optimal absorber thickness is necessary to achieve a
good balance between light absorption and charge-carrier transport
[28,29].
Moreover, the increase in absorber thickness
causes the Voc
value to decrease. This decrease occurs because the reverse
saturation current increases as charge accumulates on the
electrodes. When charge builds up on the electrodes, current can no
longer flow through the device. The value of
Jsc
increases with thickness because the spectral response at longer
wavelengths increases with thickness. The increase in electron-hole
pairs is related to photon absorption. Therefore,
Jsc
increases with the absorber thickness. The value of the Fill Factor
(FF) also decreased. This occurred due to photon absorption and
charge-carrier recombination. The optimum thickness value to achieve
maximum efficiency is obtained at a thickness of 1.6
μm
with a PCE value of 17.66%, a Voc
value of 1.13 Volts, a Jsc
value of 20.79 mA/cm2,
and FF of 74.96%.
Furthermore, it is important to contrast this
theoretically optimized thickness of 1.6
μm
with typical experimental data. In practical device fabrication, the
optimal thickness for CsPbI3
absorber layers is frequently found to be significantly lower,
typically in the range of 300 to 500 nm [15,16]. This
discrepancy arises because our ideal SCAPS-1D simulation does not
fully account for the macroscopic morphological defects, severe
strain accumulation, and high series resistance that typically
plague experimentally deposited perovskite films when their
thickness exceeds 500 nm. Thus, while our simulation identifies the
fundamental optical limit for maximum photogeneration, practical
fabrication must balance optical absorption against the severe
morphological deterioration associated with thick films.
Figure 2. J-V curves with various absorber thicknesses under
standard operating temperature (300 K) and AM1.5G illumination
condition.Figure 3. Effect of CsPbI3 thickness on (a) efficiency (η), (b) Voc, (c) Jsc, and (d) Fill Factors.
3.3 Defect density of absorber layer
The absorber defect density strongly influences the solar cell
efficiency. Photoelectrons are produced when the absorber layer
interacts with light. As the absorber thickness increases,
efficiency increases, but defect density also increases, thereby
increasing recombination. PCE, Voc,
Jsc,
and FF values decreased when the Nt
value of the absorber was increased from
1014
to 1017
cm−3.
The PCE decreased from 16.4% to 9.1% due to non-radiative
Shockley-Read-Hall (SRH) recombination [30,31,32],
carrier recombination [30,33], and device performance
degradation [34,35,36]. Higher defect states act
as active recombination centers deep within the bandgap, which
severely diminishes the minority carrier lifetime and diffusion
length according to Shockley-Read-Hall (SRH) statistics. One way to
reduce the value of Nt
is by using an ETL layer. This ETL layer can prevent direct
reactions between the perovskite absorber and the electrode and can
also increase the crystallinity of the perovskite absorber. After
optimization, an efficiency of 16.4%, Voc
1.19 V, Jsc
18.33 mA/cm2,
and FF = 75.27% are obtained. Comparatively, while our simulation
demonstrates that reducing the defect density to
1014
cm−3
maximizes performance, typical experimental
CsPbI3
films exhibit defect densities in the range of
1015
to 1016
cm−3
due to inherent iodine vacancies and imperfect crystallization
[15,16]. Achieving the theoretically optimal
1014
cm−3
level in practical devices remains a significant challenge that
requires advanced surface passivation and controlled crystallization
techniques.
Figure 4. J-V curves with various defect densities (Nt) of CsPbI3 layer.Figure 5. The efficiency (η), Voc, Jsc, and FF with various defect density (Nt) of absorber.
3.4 Acceptor concentration (Na) of absorber layer
Figure 6 and Figure
7 result from simulating a
CsPbI3-based
solar cell by varying the Na
value from 1015
cm−3
to 1018
cm−3.
There is an increase in the PCE, Voc,
and FF values and a decrease in the Jsc
value when the Na
value increases. When the Na
value is increased, there is a decrease in the energy level of the
hole, which increases the Voc
value. This increase also occurs because the built-in potential
increases. This increases the value of
Voc
because the charge separation also increases. The optimal
Na
value was obtained (1018
cm−3)
with an efficiency value of 20.90%, Voc
= 1.31 V, Jsc
= 18.21 mA/cm2,
and FF = 87.48%. It is worth noting that experimentally achieving
such a high intentional doping concentration of
1018
cm−3
without inducing structural disorder or secondary non-perovskite
phases is highly challenging. Most experimental high-efficiency
CsPbI3
devices rely on unintentional self-doping or mild extrinsic doping
that reaches approximately 1016
cm−3
to 1017
cm−3
[16]. Therefore, this theoretical optimum serves as an
upper bound, highlighting the potential gains if highly effective,
non-destructive doping strategies can be experimentally
realized.
Figure 6. J-V curve of perovskite solar cells with various Na.Figure 7. The efficiency, Voc, Jsc, and FF of solar cells with various Na values.
3.5 Thickness of ETL and HTL
ETL is an important layer that reduces recombination losses and
should exhibit high optical transmittance to allow efficient light
absorption in the perovskite layer. The ZnO thickness varied from 50
to 500 nm. Figure 8(a) shows
how ETL thickness affects efficiency, Voc,
Jsc,
and FF. There was an insignificant decrease in
Voc,
Jsc,
FF, and PCE with increasing ETL thickness. The thickness of the ETL
partially absorbs light, inhibiting the rate of charge generation
and collection. This decrease in performance can also result from a
reduction in transmittance. The thickness of Spiro-OMeTAD was varied
from 50 to 500 nm to find the optimal value, as shown in Figure
8(b). As with ETL thickness
variations, no significant influence was observed during HTL
thickness modulation. Therefore, the HTL thickness was chosen to be
170 nm for further optimization, which was the initial setting of
this study. The thinner the ETL and HTL layers, the higher the
efficiency value. The HTL layer needs to be thicker than the ETL
layer to reduce the possibility of recombination, as it facilitates
prompt transport of the same number of charge carriers to the
terminal. Thicker HTL than ETL can make the light-absorbing layer
more capable of absorbing photons. These simulated optimal
ranges—approximately 50 nm for the ZnO ETL and 170 nm for the
Spiro-OMeTAD HTL—are in excellent agreement with state-of-the-art
experimental fabrications. In high-efficiency experimental
CsPbI3
solar cells, the ETL is typically deposited at thicknesses around
30–50 nm to minimize series resistance, while the HTL is coated at
150–200 nm to ensure complete coverage of the rough perovskite
surface while maintaining efficient hole extraction
[15,19].
Figure 8. J-V curve as a function of (a) ZnO and (b)
Spiro-OMeTAD thickness.
3.6 Donor density (Nd) of ETL
Figure 9 shows the influence
of the donor concentration (Nd)
of the ETL layer with variations of 1017−1019
cm−3.
The results obtained are similar to the results of variations in the
acceptor concentration of the absorber, where there is an increase
in the efficiency, Voc,
and FF values and a decrease in the Jsc
value. However, the Nd
variation did not experience a significant increase or decrease, so
it did not significantly affect the performance of the
CsPbI3
perovskite solar cell. The optimum value of
Nd
is 1019
cm−3
because the Nd
value must be greater than the Na
value. After all, the greater the donor concentration, the more free
electrons, so that it can absorb photons with an efficiency value of
16.38%, Voc=1.19
V, Jsc=18.33
mA/cm2,
and FF=75.20%. This optimally simulated donor density of
1019
cm−3
aligns perfectly with experimental realities. ZnO thin films
intrinsically possess a high concentration of shallow donor states,
primarily arising from oxygen vacancies and interstitial zinc atoms,
which typically yield carrier concentrations in the
1018
to 1019
cm−3
range [25]. Thus, our simulation accurately reflects the
inherent electrical properties of experimental ZnO ETLs.
Figure 9. J-V curves with various donor concentrations (Nd) of ZnO.
3.7 Working temperature
Figure 10 and Figure
11 present the effect of
operating temperature (275–475 K) on the photovoltaic performance of
the CsPbI3-based
perovskite solar cell, including the J-V characteristics and key
parameters such as efficiency (PCE), open-circuit voltage
(Voc),
short-circuit current density (Jsc),
and fill factor (FF). While standard testing conditions are near
room temperature (300 K), deployed solar cells in real-world
applications often operate at significantly elevated temperatures
under concentrated sunlight or in hot, arid climates, easily
reaching 350 K or more. Therefore, simulating temperatures up to 475
K is absolutely critical for rigorously evaluating the extreme
thermal stability limits of the CsPbI3
device and understanding the failure mechanisms associated with
increased intrinsic carrier concentrations and enhanced phonon
scattering. As the temperature increases, a clear degradation in
device performance is observed, with efficiency,
Voc,
and FF decreasing significantly, while
Jsc
shows a slight increase. The reduction in
Voc
with increasing temperature is primarily attributed to an increase
in intrinsic carrier concentration, which enhances the reverse
saturation current. This leads to higher recombination rates and a
reduction in the quasi-Fermi level splitting, ultimately lowering
the open-circuit voltage. Since Voc
is highly sensitive to recombination, it becomes the most affected
parameter under elevated temperatures. The fill factor (FF) also
decreases with temperature due to increased carrier scattering and
recombination losses, as well as degraded diode quality. Higher
temperatures can reduce carrier mobility and increase resistive
losses, which contribute to a less ideal J-V curve shape.
Figure 10. J-V curves with various working
temperatures.
In contrast, Jsc
slightly increases with temperature. This behavior can be attributed
to the narrowing of the semiconductor bandgap at higher
temperatures, which allows the absorption of lower-energy photons,
thereby increasing the photogenerated current. However, this
improvement is relatively small compared to the losses in
Voc
and FF. As a result, the overall efficiency decreases with
increasing temperature, since the reduction in
Voc
and FF dominates over the slight increase in
Jsc.
The J-V curves further confirm this trend, where the curve shifts
toward lower voltage as temperature increases, indicating a
reduction in Voc
and degradation in device performance. Overall, these results
highlight that temperature is a critical factor affecting the
stability and performance of perovskite solar cells. The degradation
at higher temperatures is mainly governed by increased
recombination, bandgap narrowing, and deterioration of diode
characteristics rather than defect generation alone. From an
experimental perspective, prolonged exposure to temperatures
approaching 400 K can trigger a detrimental phase transition in
CsPbI3,
where the photoactive black perovskite phase
(α
or γ)
degrades into the non-photoactive yellow phase
(δ)
[15,16]. While our simulation captures the electronic
degradation mechanisms such as enhanced recombination and intrinsic
carrier generation, practical device failure at these elevated
temperatures is often dominated by this structural instability,
underscoring the critical need for phase-stabilization engineering
in real-world applications.
Figure 11. Effect of working temperature on the (a) efficiency, (b) Voc, (c) Jsc, and (d) FF.
3.8 Optimized J–V characteristic and quantum efficiency (QE)
Before optimizing the CsPbI3
perovskite solar cell device, the efficiency was 16.4%, the
Voc
value was 1.19 V, the Jsc
value was 18.34 mA/cm2,
and the FF value was 75.2%. After optimization of the
FTO/ZnO/CsPbI3/Spiro-OMeTAD
device, the thickness and Na
were from 0.5 μm
to 1.6 μm
and 1015
to 1018
cm−3.
The Nd
value of ETL was optimized from 1017
to 1019
cm−3.
After final optimization, efficiency increased to 23.1%,
Voc
to 1.39 V, Jsc
to 20.5 mA/cm2,
and FF 87.4%. Figure 12 shows
the comparison of the J-V curve and quantum efficiency before and
after optimization. Detail of optimized parameters is summarized in
Table 3. The theoretically
optimized PCE of 23.1% provides a compelling target for future
experimental efforts. Currently, the record experimental efficiency
for all-inorganic CsPbI3
solar cells hovers around 20–21% [16]. The gap between
our theoretical limit and current experimental records suggests that
while significant progress has been made, there remains substantial
room for improvement through rigorous control of interface
energetics, suppression of deep-level defects, and precise tailoring
of charge transport layer properties as guided by our
simulation.
Figure 12. Unoptimized versus optimized (a) J-V Characteristic
and (b) quantum efficiency.
Table 3. A change in solar cell parameters after optimization.
Parameters
Unoptimized
Optimized
PCE (%)
16.3
23.1
Voc
(V)
1.19
1.39
Jsc
(mA/cm2)
18.33
20.5
FF (%)
75.2
87.4
It is seen that as the voltage increases, current density also
increases, and the correlation between wavelength and QE is
optimized. QE is the ratio of the number of charge carriers produced
photoelectrically to the number of photons entering the solar cell.
The QE value increases when the wavelength is 300-710 nm. The
highest QE is found in ∼360
nm (100%). The QE is gradually decreased by shifting the wavelength
to ∼710
nm. After optimization, the QE value is almost maximum (100%) in the
300-710 nm range.
4. CONCLUSION
In this study, CsPbI3-based
perovskite solar cells were successfully optimized using SCAPS-1D
simulation. The results demonstrate that absorber thickness, defect
density, and acceptor concentration are critical parameters
influencing device performance. An optimal absorber thickness of 1.6
μm
provides efficient light absorption and carrier collection. Reducing
defect density minimizes recombination losses, while appropriate
acceptor concentration enhances charge transport within the absorber
layer. After simultaneous optimization of all parameters, the device
performance significantly improved, with power conversion efficiency
increasing from 16.3% to 23.1%, accompanied by significant
enhancements in Voc
(from 1.19 V to 1.39 V), Jsc
(from 18.33 to 20.5 mA/cm2),
and fill factor (from 75.2% to 87.4%). The improved performance is
supported by better J-V characteristics and near-unity quantum
efficiency across a broad wavelength range. These findings confirm
that systematic parameter optimization, using physically realistic
parameters grounded in experimental characterization, is an effective
strategy to enhance the performance of
CsPbI3
perovskite solar cells and provide a robust theoretical benchmark for
the design of high-efficiency perovskite-based photovoltaic
devices.
Data Availability
The data that support the findings of this study are available from
the corresponding author upon reasonable request.
Acknowledgments
This research is supported by the Ministry of Higher Education,
Science, and Technology of the Republic of Indonesia (contract no.
172/C3/DT.05.00/PL-BARU/2026 and 1416b/DST/IT9.2.1/PT.01.03/2026) via
"Penelitian Terapan-Luaran Prototipe 2026" scheme.
Conflict of Interest
The authors declare that they have no known competing financial
interests or personal relationships that could have appeared to
influence the work reported in this paper.
References
1.
Herna H., Lutfi F., Tambunan E. N. T., Meinarti Y., Rini A. S., Perovskite solar cells yang stabil udara dan efisien menggunakan nanostruktur ZnO sebagai elektron transport material, Komunikasi Fisika Indonesia 19 ( 2022 ) 75 – 82.
Et-taya L., Ouslimane T., Benami A., Numerical analysis of earth-abundant Cu2ZnSn(SxSe1-x)4 solar cells based on Spectroscopic Ellipsometry results by using SCAPS-1D, Solar Energy 201 ( 2020 ) 827 – 835.
Bhattarai S., Mhamdi A., Hossain I., Raoui Y., A detailed review of perovskite solar cells: Introduction, working principle, modelling, fabrication techniques, future challenges, Micro and Nanostructures 172 ( 2022 ) 207450.
Rana A. D., Pharne I. D., Bhargava K., Numerical simulation of highly efficient double perovskite solar cell using SCAPS-1D, Materials Today: Proceedings 73 ( 2023 ) 584 – 589.
Al Qadri M. A., Sipahutar W. S., Khamidy N. I., Saputra I. S., Widianto E., Astuti W., others, Enhancing the Performance of MAPbI3-Based Perovskite Solar Cells Fabricated Under Ambient Air: Effect of Cu, Ni, and Zn Doping into TiO2, Journal of Electronic Materials 53 ( 2024 ) 6838 – 6849.
Al Qadri M. A., Nurfani E., Effect of TiO2:Zn layer thickness on the performance of MAPbI3-based perovskite solar cells fabricated under open-air condition, Next Materials 8 ( 2025 ) 100537.
Al Qadri M. A., Nurfani E., Effect of precursor molarity on the structural, morphological, and photovoltaic properties of MAPbI3 deposited under open-air conditions, Materials Science and Engineering: B 323 ( 2026 ) 118686.
Saputri H. E., Indriyani N., Sipahutar W. S., Saputra I. S., Asri R., Yuliantini L., others, Molarity-Controlled FAI Surface Passivation for Enhanced Photovoltaic Performance of MAPbI3 Perovskite Solar Cells, 2026
Battula R. K., Sudakar C., Bhyrappa P., Veerappan G., Ramasamy E., Performance-stability correlation in MAPbI3 based perovskite solar cells developed using ink derived from single crystals, Optical Materials 153 ( 2024 ) 115538.
Gordillo G., Torres O. G., Abella M. C., Peña J. C., Virguez O., Improving the stability of MAPbI3 films by using a new synthesis route, Journal of Materials Research and Technology 9 ( 2020 ) 13759 – 13769.
Kim B., Kim M., Kim H., Jeong S., Yang J., Jeong M. S., Improved Stability of MAPbI3 Perovskite Solar Cells Using Two-Dimensional Transition-Metal Dichalcogenide Interlayers, ACS Applied Materials & Interfaces 14 ( 2022 ) 35726 – 35733.
Liu D., Shao Z., Li C., Pang S., Yan Y., Cui G., Structural Properties and Stability of Inorganic CsPbI3 Perovskites, Small Structures 2 ( 2021 ) 2000089.
Hunde B. R., Woldeyohannes A. D., Performance analysis and optimization of perovskite solar cell using SCAPS-1D and genetic algorithm, Materials Today Communications 34 ( 2023 ) 105420.
Aseena S., Abraham N., Suresh Babu V., Optimization of layer thickness of ZnO based perovskite solar cells using SCAPS-1D, Materials Today: Proceedings 43 ( 2020 ) 3432 – 3437.
Chowdhury M. S., Shahahmadi S. A., Chelvanathan P., Tiong S. K., Amin N., Techato K., others, Effect of deep-level defect density of the absorber layer and n/i interface in perovskite solar cells by SCAPS-1D, Results in Physics 16 ( 2020 ) 102839.
Reyes A. C. P., Lázaro R. C. A., Leyva K. M., López J. A. L., Méndez J. F., Jiménez A. H. H., others, Study of a lead-free perovskite solar cell using CZTS as HTL to achieve a 20\% PCE by SCAPS-1D simulation, Micromachines 12 ( 2021 ) 1508.
Nurfani Eka, Kadja Grandprix T. M., Purbayanto Muhammad A. K., Darma Yudi, The role of substrate temperature on defects, electronic transitions, and dark current behavior of ZnO films fabricated by spray technique, Materials Chemistry and Physics 239 ( 2020 ) 122065.
Nurfani Eka, Kadja Grandprix T. M., Purbayanto Muhammad A. K., Darma Yudi, Origin of fast-response photocurrent in ZnO thin film, Optical Materials 82 ( 2018 ) 70 – 76.
Zyoud S. H., Zyoud A. H., Ahmed N. M., Prasad A. R., Khan S. N., Abdelkader A. F. I., others, Numerical modeling of high conversion efficiency FTO/ZnO/CdS/CZTS/Mo thin film-based solar cells: Using SCAPS-1D software, Crystals 11 ( 2021 ) 1468.
Fatema K., Arefin M. S., Enhancing the efficiency of Pb-based and Sn-based perovskite solar cell by applying different ETL and HTL using SCAPS-1D, Optical Materials 125 ( 2022 ) 112036.
Srivastava V., Chauhan R. K., Lohia P., Highly efficient cesium-based halide perovskite solar cell using SCAPS-1D software: Theoretical study, Journal of Optics 2022
Mortadi A., El Hafidi E., Monkade M., El Moznine R., Investigating the influence of absorber layer thickness on the performance of perovskite solar cells: A combined simulation and impedance spectroscopy study, Materials Science for Energy Technologies 7 ( 2024 ) 158 – 165.
Rai M., Wong L. H., Etgar L., Effect of Perovskite Thickness on Electroluminescence and Solar Cell Conversion Efficiency, The Journal of Physical Chemistry Letters 11 ( 2020 ) 8189 – 8194.
Obi U. C., Sanni D. M., Bello A., Effect of Absorber Layer Thickness on the Performance of Bismuth-Based Perovskite Solar Cells, Semiconductors 55 ( 2021 ) 922 – 927.
Ryu S., Ha N. Y., Ahn Y. H., Park J.-Y., Lee S., Light intensity dependence of organic solar cell operation and dominance switching between Shockley–Read–Hall and bimolecular recombination losses, Scientific Reports 11 ( 2021 ) 16781.
Wolff C. M., Caprioglio P., Stolterfoht M., Neher D., Nonradiative Recombination in Perovskite Solar Cells: The Role of Interfaces, Advanced Materials 31 ( 2019 ) 1902762.
Dunfield S. P., Bliss L., Zhang F., Luther J. M., Zhu K., van Hest M. F. A. M., others, From Defects to Degradation: A Mechanistic Understanding of Degradation in Perovskite Solar Cell Devices and Modules, Advanced Energy Materials 10 ( 2020 ) 1904054.
Bisquert J., Juarez-Perez E. J., The Causes of Degradation of Perovskite Solar Cells, The Journal of Physical Chemistry Letters 10 ( 2019 ) 5889 – 5891.