Abstract
MXenes, a class of two-dimensional (2D) transition metal carbides and nitrides, have a wide range of potential applications due to their unique electronic, optical, plasmonic, and other properties. SnO2–Ti3C2 MXene with different contents of Ti3C2 (0.5, 1.0, 2.0, 2.5 wt‰), experimentally, has been used as electron transport layers (ETLs) in Perovskite Solar Cells (PSCs). The SCAPS-1D simulation software could simulate a perovskite solar cell comprised of CH3NH3PbI3 absorber and SnO2 (or SnO2–Ti3C2) ETL. The simulation results like Power Conversion Efficiency (PCE), Open circuit voltage (VOC), Short circuit current density (JSC), Fill Factor (FF), and External Quantum Efficiency (EQE) have been compared within samples with different weight percentages of Ti3C2 MXene incorporated in ETL. Reportedly, the ETL of SnO2 with Ti3C2 (1.0 wt‰) effectively increases PCE from 17.32 to 18.32%. We simulate the role of MXene in changing the ideality factor (nid), photocurrent (JPh), built-in potential (Vbi), and recombination resistance (Rrec). The study of interface recombination currents and electric field shows that cells with 1.0 wt‰ of MXene in SnO2 ETL have higher values of ideality factor, built-in potential, and recombination resistance. The correlation between these values and cell performance allows one to conclude the best cell performance for the sample with 1.0 wt‰ of MXene in SnO2 ETL. With an optimization procedure for this cell, an efficiency of 27.81% is reachable.
Keywords: Perovskite solar cell, Ti3C2 MXene, SCAPS-1D, Electron transport layer, Photocurrent, Built-in potential, Ideality factor
Subject terms: Optical physics, Optics and photonics
Introduction
Methylammonium lead iodide (CH3NH3PbI3) was used in solar cells for the first time in 2009 by Miyaska et al. 1. Metal halide perovskites have unique properties that justify their use in solar cells 2,3. Technological progress in the field of organic–inorganic solar cells since the last decade has revolutionized the research field to achieve a better alternative to conventional energy sources. That is why the circle of research has been expanded mainly to these energy sources due to the better results. Many efforts have already been made leading to achieving higher power conversion efficiency (PCE) with much cheaper fabrication cost 4. Perovskite solar cells (PSCs) have risen to stardom owing to their peculiar characteristics such as high charge carrier mobility, long free carrier diffusion length, broad and strong optical absorption, low exciton binding energy, as well as their cost-effective and easy solution process manufacture 5,6, Hybrid perovskites have great potential as being efficient, low-cost, and flexible materials for photovoltaic technology. Recent advancements have resulted in improved device stability and overall efficiency7. Metal halide perovskites are denoted by ABX3, where A refers to an organic cation, B to a metal cation, and X to a halogen anion 8. PSC consists of an electron transport layer (ETL) as an electron collector and a hole transport layer (HTL) that effectively extracts holes from the perovskite absorber layer 9. In PSCs, cell performance can be optimized by finding the best combination of ETL and HTL 4. The effect of suitable HTLs is also significant as they influence the extraction and contribution to the instantaneous flow of light-generated holes from the perovskite absorber layer to the PSC cathode. The use of highly pure Spiro-OMeTAD HTL has been widely accepted in manufacturing and stability factors. At the same time, the selection of ETL is also necessary to reduce the recombination rate as well as to optimize the efficiency of PSC 10. There must be a much better alignment in the energy bands between the HTL and the absorber layer to allow the transport of holes from the perovskite absorber layer to the HTL. The built-in (Vbi) electric field created due to the choice of contact metals in the back and front contacts helps to maintain an electric field throughout the device configuration, which enables smooth transport of charge carriers throughout the device 9. Researchers have been working to improve PSC performance for decades. However, the proper selection of materials related to the optimal thickness in the device structure is a much-needed approach to increase device efficiency 11. SnO2 has emerged as a promising ETL in PSCs due to its optical transparency and environmental stability 12–15. In addition, the combination of SnO2 with n-type semiconductors or highly conductive materials is an effective method for further enhancing the electrical conductivity of the ETLs 16–18. This improvement has led to an increase in the PCE of the solar cells 19–21. Recently, two-dimensional (2D) materials have been gaining significant attention as potential candidates for use in photovoltaic PSCs due to their unique optical and electronic properties 22–24. A new family of 2D materials, known as MXenes, has emerged. These materials are composed of transition metal carbides, nitrides, and carbonitrides, with a general formula of Mn+1XnTx (where n can be 1, 2, or 3). In this formula, M represents a transition metal like titanium or vanadium, while X stands for carbon or nitrogen. Tx refers to the surface-terminating functional groups. These materials have found significant applications in PSCs 25–27. The first studies on MXene’s applications in PSCs date back to 2018, when they were used in absorber layers and ETLs 28,29. MXenes have been applied in the structure of PSCs to enhance their (PCE) 30. Surface termination in these materials can affect the density of states (DOS) and work function (WF) 31,32, offering new opportunities for PSC applications. Among the MXenes, Ti3C2 is an excellent additive for the SnO2 ETL, which is commonly used in PSCs 33. Films of SnO2 with different Ti3C2 contents (0.0, 0.5, 1.0, 2.0, 2.5 wt‰) were prepared by spin-coating onto indium tin oxide (ITO) substrates 34. Photovoltaic devices were constructed using an architecture consisting of ITO/ETL/CH3NH3PbI3/Spiro-OMeTAD/Ag.
It has been reported that incorporating MXenes into the ETL can decrease interface recombination, leading to higher PCEs for PSCs 35. It is useful to estimate the dominant recombination pathway to demonstrate the role of MXenes in influencing interfacial recombination. The ideality factor (nid) is a parameter used to determine the dominant recombination mechanism in a semiconductor device 28. One common method to calculate the nid is by measuring the open-circuit voltage (VOC) of the light intensity 36. A nid value of 1 indicates that the dominant recombination mechanism at play is the interface Shockley–Read–Hall (SRH) recombination 37. On the other hand, a nid value close to 2 suggests that the absorber layer’s dominant recombination mechanism is trap-assisted recombination 38,39. The nids between unity and two will predict interfacial and bulk recombination superposition.
Impedance spectroscopy (IS) is a versatile technique used to monitor electrical and electrochemical processes and profile the electronic structure in devices. During an IS measurement, a small-signal, sinusoidal electrical stimulus is applied to a sample, and its response is monitored at different frequencies 40. This technique is used to measure the resistive and capacitive behavior of an electrochemical system. This is done by applying an alternating current (AC) potential to the system at different frequencies and then measuring the alternating current response through the cell 41. IS technique includes plotting the so-called Nyquist graph that illustrates the imaginary part of the complex impedance versus the real part of it. Fitting this graph, one could use the charge recombination resistance (Rrec) in the equivalent circuit 42. In this study, we used IS to examine charge dynamics in the absorber layer and interfaces in simulated solar cells. This study aimed to investigate the changes in the IS response of PSCs and to identify the mechanisms responsible for the decrease in cell efficiency. Also, we calculated series resistance (RS) in the equivalent circuit 43. We used simulation software called SCAPS-1D 44 to investigate how adding different weight percentages of Ti3C2 MXene to the SnO2 ETL layer in a PSC structure (ITO/SnO2 (ETL)/CH3NH3PbI3/Spiro-OMeTAD/Ag) affected the photocurrent density (JPh), nid, and Rrec. The software considers the production and recombination of charge carriers in the layers and interfaces. Additionally, we studied the performance of PSCs with 1.0 wt.‰ MXene-assisted ETL for various thicknesses of the absorber and charge transport layers to optimize the structure and achieve the highest possible PCE.
Methodology and simulations
SCAPS-1D is a software used for one-dimensional simulations. It calculates energy bands, current–voltage characteristics, and external quantum efficiency by solving continuity equations for electrons and holes and the Poisson equation 45. The software can also calculate recombination profiles and electric field distribution for layers and interlayers. The basic continuity equations used by this software for electrons and holes are:
| 1 |
| 2 |
where and are the electron and hole mobility respectively, is the electron (hole) diffusion coefficient, is the electric field, is the electron charge, and is the hole (electron) density. The recombination rate of electrons and holes can be calculated through the equations mentioned above:
| 3 |
| 4 |
where is the electron–hole generation rate.
In a recent experiment, researchers incorporated Ti3C2 MXene in SnO2 ETL to enhance the efficiency of PSCs. To understand how this enhancement is achieved, simulations were conducted on two types of PSCs. The first one had the architecture of ITO/SnO2/CH3NH3PbI3/Spiro-OMeTAD/Ag, while the second one had the architecture of ITO/SnO2–Ti3C2 (0.5, 1.0, 2.0 and 2.5 wt.‰)/CH3NH3PbI3/Spiro-OMeTAD/Ag (Fig. 1). The simulation work used data provided by the original experimental work 44.
Figure 1.
(a) Device architecture of ITO/SnO2/CH3NH3PbI3/Spiro-OMeTAD/Ag, and (b) its schematic energy level diagram. (c) Device architecture of ITO/SnO2-Ti3C2/CH3NH3PbI3/Spiro-OMeTAD/Ag, and (d) its schematic energy level diagram.
The material parameters for the pristine sample are selected from published experimental data and listed in Table 1. Interfacial parameters for simulation are shown in Table 2. In this table, NA and ND denote acceptor and donor densities, ε is relative permittivity, χ is electron affinity, Eg is band gap energy, and Nt is defect density. NC and NV are the effective densities of conduction and valance band states, respectively. To estimate the thickness of the layers, the SEM image provided in the experimental work 34 was used. In addition, the electron/hole thermal velocity for each layer was set to 107 cm/s, simulated light conditions were AM1.5G, and the simulation temperature was 300 K. According to a study 28, incorporating Ti3C2 MXene into the layers of PSC does not affect the band gap energy. However, it does reduce the WF in the layers, which changes the electron affinity of the layers 28. This means that the band gap energy will remain the same for MXene-added structures. Moreover, the electron affinity of the MXene-added ETL has been measured to be 4.63 eV 34. It has been reported that the efficiency enhancement of PSCs is mainly due to the increased mobility of the layers when MXene is added. In this work, we have adopted an electron mobility of 1.23 10–5 cm2/V s for the MXene-assisted ETL 34. This value shows an order of magnitude increase compared to the bare SnO2 ETL. In the simulations, all parameters except for the MXene concentration in the ETL of the cells are kept constant. The values of carrier capture cross-section layers in PSCs with SnO2 ETL and MXene-added ETL are considered to be 1 10–15 cm2.
Table 1.
Parameters used in the simulation by SCAPS for ITO/SnO2/CH3NH3PbI3/Spiro-OMeTAD/Ag PSCs structures.
| Parameter | ITO | SnO2 (ETL) | CH3NH3PbI3 (absorber) | Spiro-OMeTAD (HTL) |
|---|---|---|---|---|
| 150a/8.9b | 30a/9.0b | 430a/10.0e | 140a/3.0f | |
| 3.5c/4.5c | 3.44a/4.39a | 1.5a/3.93a | 2.7a/2.5a | |
| 0.22c/1.8c | 0.22b/1.8b | 0.1e/0.1e | 10.0f/10.0f | |
| 100/ | 1.0/ | /4 | /7.0 | |
| 1.0 | 1.0 | 0.001 | 0.1 | |
| 10.0b/10.0b | 7.56 a/0.1d | 2.0f/2.0f | 2.0f/0.01f | |
| α | From spectrumi | |||
Table 2.
Interfacial parameters used in the simulation by SCAPS for ITO/SnO2/CH3NH3PbI3/Spiro-OMeTAD/Ag PSCs structures.
| Parameter | ITO/ETL | ETL/Absorber | Absorber/HTL |
|---|---|---|---|
| Defect type | Neutral | Neutral | Neutral |
| Capture cross section electron (cm2) | 1.0 | 1.0 | 1.0 |
| Capture cross section hole (cm2) | 1.0 | 1.0 | 1.0 |
| Energetic distribution | Single | Single | Single |
| Reference for defect energy level Et | Above the highest EV | Above the highest EV | Above the highest EV |
| Energy with respect to reference (eV) | 0.6 | 0.6 | 0.6 |
| Total density (cm-2) | 1.0 | 1.0 | 1.0 |
Results and discussion
The Fig. 2 illustrates the agreement between the experimental current density–Voltage (J–V) data for PSCs with SnO2 and SnO2-MXene (1.0 wt‰) ETLs and simulation results. In the same figure, the theoretical External Quantum Efficiency (EQE) curve closely matches the measured one. This indicates that the model was able to successfully explain the process of photovoltaics. It’s worth noting that the simulated photovoltaic parameters closely follow the measured values, as shown in the graph's inset.
Figure 2.
Simulated (solid line) and experimental (dotted) data of J–V and EQE curves of solar cells with different electron transport layers. (a) SnO2, (b) SnO2–Ti3C2 (1.0 wt‰).
The original paper 34 does not provide EQE data for the PSCs of SnO2-MXene at varying concentrations (0.5, 1.5, 2.0, and 2.5 wt‰). We present simulated J-V curves for the samples, which closely match the experimental ones shown in Fig. 3. In this figure, the calculated photovoltaic characteristics obtained from the fitting are being compared with the measured ones, where a high degree of concurrency can be seen between them. The generated EQE curves are shown in the insets.
Figure 3.
Simulated (solid line) and experimental (dotted) data of J–V and EQE curves of solar cells with different electron transport layers. (a) SnO2–Ti3C2 (0.5 wt‰), (b) SnO2-Ti3C2 (2.0 wt‰), and (c) SnO2–Ti3C2 (2.5 wt‰).
For determining integrated current density, we combine the photon flow at a certain wavelength, leading to the flow of electrons leaving the solar cell at this wavelength 53. We have,
| 5 |
where is the photon flux of AM1.5. The simulated and experimental EQE spectra and their corresponding integrated currents density are depicted in Fig. 4. The calculated integrated current density for the SnO2-based cell is 19.93 mA cm-2. When 1.0 wt‰ MXene is added to the device, it increases to 20.29 mA cm-2. The deviation between the integrated current from EQE and the values obtained from the simulation of JSC values (presented in Fig. 2) is around 10%. This indicates good accuracy of our J–V measured values. The integrated current density of SnO2–Ti3C2 (0.5 wt‰), SnO2–Ti3C2 (2.0 wt‰), and SnO2–Ti3C2 (2.5 wt‰) are 20.13 mA cm-2, 20.41 mA cm-2, and 20.58 mA cm−2, respectively. Figure 5 shows the result of the simulation of EQE and integrated current density for SnO2–Ti3C2 (0.5 wt‰), SnO2-Ti3C2 (2.0 wt‰), and SnO2–Ti3C2 (2.5 wt‰). It can be seen that the amount integrated current density follows the order of MXene weight percentage in the SnO2 ETL.
Figure 4.
Simulated (solid line) and experimental (dotted) data of EQE spectra and the corresponding integrated current densities for the PSCs. (a) SnO2, (b) SnO2-Ti3C2 (1.0 wt‰).
Figure 5.
Simulated (solid line) data of EQE spectra and the corresponding integrated current densities for the PSCs. (a) SnO2–Ti3C2 (0.5 wt‰), (b) SnO2–Ti3C2 (2.0 wt‰), and (c) SnO2–Ti3C2 (2.5 wt‰).
The Nyquist plots of solar cells of different ETLs with recorded IS spectra are shown in Fig. 6. The calculated from fitting the semicircle Nyquist plots are shown in the same Fig. The semicircle is observed for all conditions, and it starts at a high frequency and ends at a low frequency. This semicircle can be fitted to an equivalent circuit. The wires and ITO substrate are largely associated with . The main observed semicircle represents , and the interfacial capacitance (C) at the ETL/perovskite interface 34. is in series with other components and results in a shift in the Nyquist spectrum along the real axis away from the origin. The term denotes the phenomenon of electron capture, where an electron or hole moves from the conduction or valence band to a defect in the bandgap or to surface states 54,55. Capacitance in IS corresponds to the storage of electrical energy. Physically, capacitance arises either due material polarisation (geometric capacitance), or due to local inhomogeneity in the distribution of free charge (electrochemical capacitance), usually related to charge dynamics. is inversely proportional to charge recombination. Higher suggests lower carrier recombination (better hole-blocking ability) 34. In Fig. 6, Nyquist plots are drawn for voltages of 0 V, 0.4 V and VOC. Among the PSCs of ETL with MXene, the resistance value of is ordered as SnO2–Ti3C2 (1.0 wt‰) > SnO2–Ti3C2 (0.5 wt‰) > SnO2–Ti3C2 (2.0 wt‰) > SnO2–Ti3C2 (2.5 wt‰), where a higher resistance is better for electron collection. This implies that the least charge recombination occurs at the interface, resulting in the highest FF of SnO2–Ti3C2 (1.0 wt‰). This can be partly attributed to the better electron extraction due to the addition of Ti3C2. The performance improvement can practically be explained by . In general, higher corresponds to higher PCE.
Figure 6.
Measured (dotted) and fitted (solid line) data of Nyquist plots of PSCs fabricated with the different ETLs. (a) SnO2, (b) SnO2–Ti3C2 (0.5 wt‰), (c) SnO2–Ti3C2 (1.0 wt‰), (d) SnO2–Ti3C2 (2.0 wt‰), (e) SnO2–Ti3C2 (1.0 wt‰), and (f) Circuit representation of a fundamental relaxation process with characteristic resistance and capacitance.
Figure 7a displays the variation of VOC values with illumination for cells with and without MXene. It is evident that the VOC increases with the intensity of illumination; however, it almost reaches saturation at high light intensity. We used 56,57 to calculate the .
| 6 |
where is Boltzmann’s constant, is temperature, is the elementary charge, is the thermal voltage and is equal to at room temperature, and is reference intensity at one Sun.
Figure 7.
Plots of VOC versus. (a) (I/I0), (b) the calculated slope of the VOC versus ln (I/I0) curves for PSCs with SnO2 and MXene-assisted ETLs are shown.
Figure 7b displays the curves of VOC changes against Ln(I/I0) and the slopes obtained for calculating the nid values. The bulk and interfacial Shockley–Read–Hall (SRH) recombination are formulated according to Refs.58,59.
| 7 |
| 8 |
where is the equilibrium charge density, is the electron and hole absorption cross-section, and is electron (hole) density under the non-equivalence condition. and represent the intrinsic and trap defect energy levels, respectively, represents the thermal velocity and is the carrier lifetime. In Fig. 8, we can see the bulk and interfacial recombination currents, as well as cap , and calculated . It’s worth noting that band-to-band recombination was found to be negligible. In the PSC with bare ETL of MXene, the ideality factor is relatively close to 2 .
Figure 8.
Bulk and interfacial recombination currents. The calculated open-circuit voltages and the ideality factors of each device are presented. (a) SnO2, (b) SnO2–Ti3C2 (0.5 wt‰), (c) SnO2–Ti3C2 (1.0 wt‰), (d) SnO2–Ti3C2 (2.0 wt‰), (e) SnO2–Ti3C2 (2.5 wt‰).
When additive MXenes are introduced into the ETL of solar cells, the ideality factor values become closer to 1. This indicates that the interfacial mechanism, rather than bulk recombination, dominates in the MXene-assisted ETL cells. Among these cells, the one with 1.0 wt‰ of MXene shows the highest ideality factor and VOC values. This suggests that adding 1.0 wt‰ of MXene into the SnO2 ETL makes the interface recombination least effective, resulting in the best cell performance.
It is well established that incorporating MXenes in the structure of PSCs can enhance their performance. However, it is important to note that increasing the weight percentage of MXene in the SnO2 ETL beyond 1.0 wt‰ may lead to a reduction in the VOC, which requires further discussion. This same observation also applies to cells with 0.5 wt‰ of MXene. To remove ambiguities, we plotted the carrier lifetime of the absorber layer against the weight percentage of MXene in ETL (Fig. 9). It can be observed that the carrier lifetime reaches its peak when 1.0 wt‰ MXene is present in the SnO2 ETL structure. This indicates that the charge carriers generated in this cell will have a longer effective time for extraction by the charge transport layers, in comparison to the other cells. In Fig. 10, the electric field distribution of cells at the ETL/absorber interface was studied for applied voltages that were less than, equal to, and greater than the VOC. It was observed that the 1.0 wt‰ MXene-added cell had a stronger electric dipole formed at the ETL/absorber interface, which could establish a significant potential difference across the ETL. This would lead to a shorter extraction time for the electrons from the ETL, as compared to the charge carrier lifetime in the absorber layer 34,60,61. As a result, the photogenerated charge carriers in the absorber layer could be extracted immediately. On the other hand, due to the weaker dipole moment of the other cells formed at the ETL/absorber, the photogenerated carriers took much more time to be collected. It has been observed that the addition of MXene to SnO2 ETL cells results in higher recombination, which significantly reduces their overall performance. However, it has been found that the MXene-assisted cells with 1.0 wt‰ MXene-added-SnO2 ETL show better performance compared to other such cells. This is due to the fact that interfacial recombination plays a more crucial role than bulk recombination in determining cell performance, as indicated by the higher ideality factor of these cells. In cells containing MXene, there is a correlation between nids and cell performance. This correlation can be explained through the inset in Fig. 9, where the curves of VOC and nid versus the MXene weight percentage follow the same pattern as the carrier lifetime in the absorber layer. Therefore, in these cells, a lower nid indicates a higher interfacial recombination current, resulting in a less efficient cell.
Figure 9.

Carrier Lifetime of absorber layer curve vs MXene weight percentage (0.5, 1.0, 2.0, 2.5 wt‰). Two insets depict the calculated VOC and ideality factors varying with MXene weight percentage used in ETL.
Figure 10.
The Absolute electric field at the ETL/Absorber interface for V < VOC (a), V ≈ VOC (b), and V > VOC (c).
In literature, the correlation between quasi-Fermi level splitting (QFLS) and charge carrier densities (n and p) in the absorber layer has been discussed (62).
| 9 |
where β is a parameter defining the relationship between the carrier density and the perturbation of the QFLs from equilibrium and is equal to 1 or 2, and is the equilibrium charge density. In brief, if the charge carrier densities undergo the condition ≈ , the bulk recombination will dominate. Meanwhile, the presence of a dominant charge carrier, e.g., >> (or >> ), makes the interfacial recombination the dominant mechanism. Figure 11 shows and for cells with and without MXene, and Table 3 provides values of these values at the middle of the absorber layer. In the cell with bare SnO2 ETL shows better ≈ is condition compared to the other cells. This indicated that bulk recombination dominates and is likely to be close to 2. On the other hand, in MXene-assisted cells, the condition >> is satisfied, and the is relatively close to 1. Among these cells, the one with 1.0 wt‰ of MXene has the lowest / ratio, which confirms the highest .
Figure 11.
Charge carrier density across the absorber and charge transport layers of the cells with and without MXene. (a) SnO2, (b) SnO2–Ti3C2 (0.5 wt‰), (c) SnO2–Ti3C2 (1.0 wt‰), (d) SnO2–Ti3C2 (2.0 wt‰), (e) SnO2–Ti3C2 (2.5 wt‰).
Table 3.
Electron (hole) density values in the PSCs.
| ETLs | P | n | p/n |
|---|---|---|---|
| SnO2 | 7.2 1018 | 2.4 | 3.0 |
| SnO2–Ti3C2 (0.5 wt‰) | 7.6 | 1.7 | 4.5 |
| SnO2–Ti3C2 (1.0 wt‰) | 4.0 | 3.1 | 1.3 |
| SnO2–Ti3C2 (2.0 wt‰) | 9.0 | 1.7 | 5.3 |
| SnO2–Ti3C2 (2.5 wt‰) | 1.0 | 1.2 | 8.3 |
After gaining more insights into the role of incorporated MXenes into the SnO2 ETL, we assessed the photocurrent density using Eq. (10), where and are the current density under light and the dark current density, respectively 62,63.
| 10 |
The electric field established in the absorber layer is , where is the built-in potential, and is the thickness 61. The drift caused by such an internal electric field makes a photogenerated current. This photogenerated current is formulated as 64,65,
| 11 |
where is charge carrier mobility, τ is charge carrier lifetime, V is the applied voltage, and is the sample thickness. The equation above provides a practical method to determine the built-in potential by finding the intersection of the curve with the voltage axis.
Figure 12 illustrates the of the cells with and without MXene in their ETL structure. This figure clarifies how to derive the . for each sample. Improving the is crucial in photovoltaic structures as it effectively reduces interfacial recombination. On the other hand, the voltage limit of the is determined by the which is vital for achieving better cell performance 66–70. As depicted in the figure, the sample containing 1.0 wt.‰ MXene in the ETL displays the highest , which is why it has the highest PCE among all samples.
Figure 12.
The current and photocurrent densities of PSCs with different ETLs. (a) SnO2, (b) SnO2–Ti3C2 (0.5 wt‰), (c) SnO2–Ti3C2 (1.0 wt‰), (d) SnO2–Ti3C2 (2.0 wt‰), (e) SnO2–Ti3C2 (2.5 wt‰).
In the last part of this work, an optimization procedure of the SnO2–Ti3C2 (1.0 wt‰) is presented, and it is hoped that the results of this optimization will have a significant impact on practical features of photovoltaic science, as well as understanding the role of the thickness of the layers.
Figure 13 shows a contour plot that displays the variation of the thickness of the SnO2–Ti3C2 (1.0 wt‰) ETL and the absorber layer, ranging from 10 to 40 nm and 400 nm to 1200 nm, respectively. The optimal thickness for the absorber layer is 700 nm, while the optimal thickness for the ETL is 10 nm. We will use these values for the ETL and absorber thickness parameters throughout the optimization process.
Figure 13.

The effect of the SnO2–Ti3C2 (1.0 wt‰) ETL and absorber thickness variation on the cell performance.
Figure 14 illustrates the relationship between the thickness of the HTL and the absorber. The range of HTL layer thickness considered in this study is between 100 and 700 nm. After optimization, a thickness of 700 nm was selected as the most suitable for the HTL layer thickness.
Figure 14.

The effect of the HTL and absorber thickness variation on the cell performance.
Figure 15 displays the J–V and power density–voltage (P–V) curves, which were plotted based on the optimized parameters discussed earlier for the MXene-assisted cell with SnO2–Ti3C2 (1.0 wt‰) ETL. The photovoltaic response of the optimized MXene-assisted cell with SnO2–Ti3C2 (1.0 wt‰) ETL was achieved through JSC = 36.21 mA/cm2, VOC = 1.051 (V), FF = 73.07% and PCE = 27.81%, respectively.
Figure 15.

J–V (solid lines) and P–V (dashed lines) for the MXene-assisted cell with SnO2–Ti3C2 (1.0 wt‰) ETL.
Conclusion
A numerical analysis was conducted on devices with and without 2D MXene in their SnO2 ETLs using SCAPS-1D software. The study found that a device architecture of ITO/ETL/CH3NH3PbI3/Spiro-OMeTAD/Ag with SnO2–Ti3C2 (1.0 wt‰) as the ETL achieved a relatively high PCE of 27.81%. It is believed that the added MXene plays a crucial role in reducing the interfacial recombination, which is the primary reason for the improved performance of the cell. By calculating the ideality factor (nid), we established a correlation between this quantity and the cell performance. We found that the sample with the highest efficiency also had the highest nid value of 1.53. The improvement in efficiency in PSCs can be credited to the increase in Rrec, a parameter that explains the enhancement in efficiency. This parameter demonstrates that IS is an easy and alternative technique for obtaining information about PSCs.
Author contributions
All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Mahdiyeh Meskini and Saeid Asgharizadeh. The first draft of the manuscript was written by Mahdiyeh Meskini and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.











