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Study of the Effect of Interface Defect Layers (IDL1 and IDL2) on CsGeI3 Perovskite Solar Cells by SCAPS 1D Simulation

Received: 3 July 2025     Accepted: 16 July 2025     Published: 31 July 2025
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Abstract

Germanium-based perovskite solar cells have garnered significant interest within the scientific community due to their non-toxicity and excellent stability. However, their low conversion efficiency is an obstacle to their application and design. We designed a device with a normal configuration structured as Glass / FTO / SnO2 / IDL1 / CsGeI3 / IDL2 / Cu2O / Au to improve our germanium-based perovskite solar cell, designed The integration of interface defect layers IDL1 and IDL2 the reduction of recombination. The study revealed that these IDL1 and IDL2 layers play a crucial role in solar conversion performance. By adjusting the thickness, electron affinity and defect density of the IDL1 and IDL2 layers, the conversion efficiency of our device exceeds 19%. However, an increase in temperature in the environment can negatively affect the cell by decreasing its photovoltaic efficiency.

Published in International Journal of Materials Science and Applications (Volume 14, Issue 4)
DOI 10.11648/j.ijmsa.20251404.13
Page(s) 134-143
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Perovskite, CsGeI3, IDL1, IDL2, PCE Performance

1. Introduction
In a global context where societaleVolution and the increasing energy demands of populations lead to a growing consumption rate of around 2.4% in 2023, this results in a significant rise in global pollution due to carbon dioxide ( ) emissions. According to estimates compiled by the global budget project, pollution will increase by 0.8% in 2024, or 37.4 billion metric tons, compared with 2023 . The increase in global pollution is the main cause of climate change.
In order to neutralize carbon in industrial production, clean and efficient renewable energies are gaining popularity. The development of clean and sustainable energy sources has attracted attention over this century . Solar energy has received considerable attention as a clean and non-polluting energy source with significant potential. In recent years, scientists have shown increasing interest in perovskite solar cells due to their remarkable light absorption capacity and promising prospects . Currently, lead-based perovskite solar cell technology is being developed for commercialization, aiming to replace silicon solar cells . However, despite the vast application prospects of these perovskite solar cells, the toxicity and water solubility of lead are causing growing concern. In the field of lead-free perovskite solar cells, those based on germanium, due to their low toxicity, represent a highly favorable option compared to lead-based ones . Germanium-based perovskite offers the advantages of low toxicity to the environment and organisms, great stability, and a tunable bandgap . Nevertheless, further research is needed to explore the extended application of germanium-based perovskite cells due to their low conversion performance compared to their lead-based counterparts.
In this work, we will use the SCAPS 1D software, a simulator, to contribute to improving the conversion yields of germanium-based perovskite solar cells, while also addressing potential issues in the design of the solar device. Thus, our study device will be under the normal n-i-p configuration structured as . We have chosen and as electron transport material ( ) and hole transport material ( ), respectively. Considering recombination and interface quality, we added defect interface layers ( , ) on both sides of the perovskite layer. The objective is toeValuate the impact of defect interface layers on the performance of the designed device.
2. Parameters and Methodology
This work was conducted using the SCAPS 1D modeling software developed by the University of Ghent. This simulator primarily relies on solving three fundamental equations, which are Poisson's equation and the continuity equations .
(1)
(2)
(3)
Figure 1. Structure of the cell (a) and energy diagram (b).
N is the concentration of free electrons and p is the concentration of free holes; nt and pt: represent the distribution of trapped electrons and holes respectively; ND+, NA-: ionized donor and acceptor doping concentrations, respectively.
Solving these equations allows us to obtain the modeling parameters . Before that, it is imperative to define the structuring of our device. The figure below illustrates the arrangement of the various structural layers of the cell and the energy band diagram. We added and between the ETL and the perovskite layer and between the perovskite layer and the HTL, to prevent interface recombination and make the bandgap structure more resistant.
The values used for each layer for the simulation are listed in Table 1. In the table below, NC and NV correspond to the effective densities of the conduction band and the valence band, N and ND denote the density of acceptor and donor respectively, µ and µn represent the mobility of holes and electrons respectively, χ represents the electron affinity, Eg is the bandgap energy, and r is the relative permittivity. It can be noted that parameters for the metal layers ( and ) have been provided as they are taken as work functions with energy values of -4.4eV for and -5.1eV for .
Table 1. Parameters of the layers used.

5, 10]

18]

5, 22]

13]

5, 22]

11, 18]

Eg (eV)

3.5

3.5

1.41

1.6

1.41

2.17

Χ (eV)

4.0

4.0

4.17

4.0

4.17

3.2

εr

9.0

9.0

8.2

18

8.2

7.1

μp(cm2.V-. s-1)

10

10

1.6

20

1.6

80

μn(cm2.V-. s-1)

20

20

1.6

20

1.6

2000

NV(cm-3)

1.81019

2.61021

1.1018

1.1019

1.1018

1.1018

NC(cm-3)

2.21018

4.361018

1.1018

1.1018

1.1018

2.21018

NA(cm-3)

0

0

1. 1012

2. 1018

1. 1012

1. 1018

ND(cm-3)

2. 1019

1. 1018

0

2. 1016

0

0

Nt(cm-3)

1.1015

1.1015

1.1018

1.1015

1.1018

1.1015

Thickness (nm)

500

30

8

1000

8

1000

3. Results and Discussion
Figure 2. Current density as a function of voltage (a), external quantum efficiency (b), and energy band diagram (c).
With the data specified in the above table, we simulated using SCAPS 1D, allowing us to plot graphs of current density, external quantum efficiency, and energy bands. Figure 2a represents the relationship between current density J and open circuit voltage , showing a decrease in density as voltage increases. The modeling provided a voltage value ( ) of 0.98 V, a current density of 24.30 mA/cm², a fill factor of 78.67%, and finally a conversion efficiency from 18.79%. Figure 2b illustrates the external quantum efficiency, consisting of three parts: between 300 and 400nm indicating a growth phase of yield, from 400 to 700nm representing the highest phase of quantum yield, above 80%, and beyond 700nm, we note a drastic drop in the external quantum yield of our device. Figure 2c represents the energy bands, where Ec illustrates the conduction band energy level, Fn the Fermi level of electrons, Fp that of holes, and Ev the valence band. This graph shows that the gap between the conduction band level and the valence band level results in an electric field of approximately 2.11 V/µm. The conversion efficiency of the cell model can be improved by reducing recombination between the different layers. Therefore, we examine the impact of varying the parameters of the layers on the performance of the solar cells.
3.1. Contribution of the Variation of the Thickness of the Interface Defect Layer on the Performances
To reduce recombination in our work cell, we added defect interface layers ( ) between the electron transport layer (ETL) and the absorbing layer and ( ) between the hole transport layer (HTL) and the layer. Given the significant impact of layer thickness on internal efficiency and carrier transport in perovskite-based solar cells, we felt it necessary to assess the contribution of varying layer thicknesses on the efficiency of our cell. We fixed a thickness range for varying between 0.001 to 0.01µm and for layer between 0.001 to 0.004µm. The simulation with these values allowed us to plot the trends of the electrical parameters. Figure 3a shows that increasing the thickness of layer results in a slight drop in voltage, whereas the drastic decrease in open circuit voltage is more noticeable with the increase in thickness of layer , dropping from 5.95 to 4.03V. This leads to a drop in the open-circuit voltage, if we take the difference between the two values indicated above, and it remains within the range of the band gap of our cell absorber. Therefore, the thickness of layer plays a major role in the open circuit voltage. Figure 3b represents current density as a function of thickness variation. We see that increasing the thickness of layer does not significantly influence the current density. Conversely, increasing the thickness of layer leads to an increase in current density from 24.26mA/cm² for an thickness of 0.001µm to 24.29mA/cm² for an value of 0.004µm. Therefore, layer has a dominant influence on current density. Figure 3c shows the increase in fill factor as a function of increasing layer thickness. A sufficient proof that the variation of the fill factor depends on theeVolution of the thicknesses of the layers. Figure 3d illustrates the conversion efficiency diagram of our device, where we can see that the under goes a slight decrease in its value with the increase in thickness of . Conversely, the drop in yield is accentuated with theeVolution of thickness of , which decreases its value from 19.06 to 18.87%. In summary, we can expect to achieve a better conversion efficiency of our device with thicknesses for the defect interface layers ( and ) of 0.001µm.
Figure 3. Effect of varying the thickness of interface defect layers: (a), (b) , (c) , and (d) .
3.2. Impact of Electron Affinity on the Interface Defect Layers and on Performance
The electron affinity energy, which signifies the energy associated with the attraction of electrons, helps understand an element's likelihood of acquiring electrons. A level of electron affinity can enhance the performance of a solar cell. To better observe these effects, we have shown in Figure 4 the impact of varying the electron affinity energy of the interface layers. The energies of layers and were varied between a range of 4.12 and 4.17eV. Figure 4a shows that the variation of electron affinity in layer does not impact the open circuit voltage. However, increasing the electron affinity energy of layer causes a rapideVolution of . Therefore, the electron affinity level is more balanced in layer , which explains its dominant impact compared to layer . Figure 4b shows the current density according to the variation of electron affinity. We can see that the increase in electronic energy in layer leads to a drop in Jsc from almost 24.10 mA/cm² to 24.00 mA/cm². However, for layer , increasing its electron affinity results in an increase in current density. The effect is therefore more significant in layer . In the simulation, the best cell current density value is obtained with the layer and the layer for electron energy values of 4.12eV and 4.17eV respectively.
Figure 4. Impact of varying electron affinity of interface defect layers: (a), (b) , (c) FF, and (d) .
Regarding the fill factor (Figure 4c), its value remains constant regardless of the increase in electron affinity in layer . Conversely, the variation of the fill factor is more pronounced as a function of theeVolution of electron affinity in layer . We have seen a drastic reduction in the fill factor value from 29% for an affinity of 4.12eV to less than 24% with an affinity of 4.17eV for layer . Figure 4d shows that increasing electron affinity in layer does not have major consequences, allowing the consistency of the conversion yield of our cell to be maintained. The increase in conversion performance is simply due to the addition of electron affinity in layer . Therefore, increasing the electron affinity in layer , which makes the system more stable and reduces electronic transitions. Consequently, a balanced electron affinity level in layer , equivalent to 4.17eV, improves the cell efficiency to 18.50%.
3.3. Impact of Variation IDL Defect Density on Performance
In the field of semiconductor solar cells, effective management of defects plays a crucial role in influencing photovoltaic conversion efficiency. In addition to the thickness of the layer, the presence of defects on the layers also affects the cell's performance. To conduct a thorough analysis, we represented the effect of varying the defect density between 1015 and 1018 cm-3 in the layers on the electrical parameters in the figure below. Figure 5a shows that the variation of defect density in layer does not have much impact on the open circuit voltage. However, increasing defects in layer causes a drop in the open circuit voltage . On the layer, for a defect rate of 1018cm-3, we can see that the is at its smallest value. In Figure 5b, the decrease in current density is most noticeable when the defect rate present in the layer is between 1015 and 1017cm-3. Beyond this value, the presence of a fault in the layer has no effect on the current density. Regarding layer , increasing the defect density leads to a decrease in current density in this layer. The effect of defects is more pronounced in layer than in layer . In Figure 5c, the fill factor is not significantly influenced by the increase in defect density in layer . Although there is a slight variation in the fill factor in graph 5.c, it is too small to be significant. We can see from this graph that the decrease in the cell's conversion efficiency is systematically linked to the existence of defects in the layers. The conversion efficiency of the cell decreases from 19.01% for a defect rate of 1015cm-3 to 18.47% when the defect rate present is 1018 cm-3. Figure 5d shows the variation of the conversion efficiency of our cell as a function of the increase in defects in the interface layers. We can see that the decrease in conversion efficiency of the cell is systematically linked to the injection of defects in the layers. The conversion efficiency thus drops from 19.01% for defects of 1015 cm-3 to 18.47% for defects of 1018 cm-3. In summary, the analysis of Figure 5d reveals that the increase in defect density hampers the efficiency of carrier flow. It increases the probability of recombination of electron-hole pairs, especially in the layer , and consequently reduces the performance of the device.
Figure 5. Impact of variation defect density of interface defect layers: (a) , (b) , (c) , and (d) .
3.4. Effect of Operating Temperature on Photovoltaic Performance
One of the factors that greatly influences the performance and stability of perovskite-based solar cells is temperature . To study its effect on our device, we adjusted the temperature between 300°K and 600°K and observed its behavior on the J-V characteristics as well as on the electrical parameters. In Figure 6a, we find that the J-V characteristics of the cell weaken with the increase in temperature. This shows that the J-V characteristic is strongly influenced by temperature. The decrease in cell characteristics with the increase in temperature may be caused by the degradation of the perovskite cell crystal. In Figure 6b to 6e, we represented the electrical parameters extracted from the J-V characteristic curve. In Figure 6b, the increase in temperature causes a decrease in open circuit voltage, indicating that temperature affects the series resistances of the device. Figure 6c shows that the impact of temperature on current density is almost negligible, resulting in a constant value of whatever the temperature used. Regarding the fill factor illustrated by Figure 6d, we note an increase in the fill factor between 300°K and 400°K, reaching its best value at 400°K, close to 80%. Beyond 400°K, the increase in temperature leads to a decrease in fill factor. In Figure 6e, we clearly observe that temperature has a negative effect on the efficiency of the solar cell's performance, which is explained by the fact that high temperatures lead to the destruction and volatility of certain components, as well as instability in the device.
Figure 6. Effect of temperature on J-V characteristics (a) and electrical parameters: (b) , (c) , (d) , and (e) .
4. Conclusion
In this work, we designed a solar device under the normal n-i-p configuration of Glass / FTO / SnO2 / IDL1 / CsGeI3 / IDL2 / Cu2O / Au. Using SCAPS 1D software, weeValuated the impact of interface defect layers on our cell's performance. The study revealed that the thickness of the interface layer has a significant impact on the conversion efficiency of the device, as it promotes better electron transfer. Conversely, the electron affinity affects the cell's conversion efficiency more when the layer takes an energy value of 4.17eV. The injection of defects into or within the or layer reduces the performance of the device. Increasing the defect density hampers the efficiency of carrier flow. It increases the probability of recombination of electron-hole pairs, especially in the layer. As the temperature increases, the study showed that the performance of the solar device decreases. This leads to an increase in internal defects and degradation, resulting in an increase in recombination in the cell.
Abbreviations

IDL

Defect Interface Layers

HTL

Hole Transport Layer

ETL

Electron Transport Layer

Author Contributions
Alioune Sow: Conceptualization, Formal Analysis, Methodology, Writing – original draft, Writing – review & editing
Saliou Seck: Methodology
Modou Faye: Supervision, Visualization
Mamadou Salif Mane: Supervision, Validation
Amadou Ndiaye: Investigation, Methodology
Conflicts of Interest
The authors declare no conflicts of interest.
References
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    Sow, A., Seck, S., Faye, M., Mane, M. S., Ndiaye, A., et al. (2025). Study of the Effect of Interface Defect Layers (IDL1 and IDL2) on CsGeI3 Perovskite Solar Cells by SCAPS 1D Simulation. International Journal of Materials Science and Applications, 14(4), 134-143. https://doi.org/10.11648/j.ijmsa.20251404.13

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    Sow, A.; Seck, S.; Faye, M.; Mane, M. S.; Ndiaye, A., et al. Study of the Effect of Interface Defect Layers (IDL1 and IDL2) on CsGeI3 Perovskite Solar Cells by SCAPS 1D Simulation. Int. J. Mater. Sci. Appl. 2025, 14(4), 134-143. doi: 10.11648/j.ijmsa.20251404.13

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    AMA Style

    Sow A, Seck S, Faye M, Mane MS, Ndiaye A, et al. Study of the Effect of Interface Defect Layers (IDL1 and IDL2) on CsGeI3 Perovskite Solar Cells by SCAPS 1D Simulation. Int J Mater Sci Appl. 2025;14(4):134-143. doi: 10.11648/j.ijmsa.20251404.13

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  • @article{10.11648/j.ijmsa.20251404.13,
      author = {Alioune Sow and Saliou Seck and Modou Faye and Mamadou Salif Mane and Amadou Ndiaye and Bachirou Ndiaye and Babacar Mbow and Cheikh Sene},
      title = {Study of the Effect of Interface Defect Layers (IDL1 and IDL2) on CsGeI3 Perovskite Solar Cells by SCAPS 1D Simulation
    },
      journal = {International Journal of Materials Science and Applications},
      volume = {14},
      number = {4},
      pages = {134-143},
      doi = {10.11648/j.ijmsa.20251404.13},
      url = {https://doi.org/10.11648/j.ijmsa.20251404.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmsa.20251404.13},
      abstract = {Germanium-based perovskite solar cells have garnered significant interest within the scientific community due to their non-toxicity and excellent stability. However, their low conversion efficiency is an obstacle to their application and design. We designed a device with a normal configuration structured as Glass / FTO / SnO2 / IDL1 / CsGeI3 / IDL2 / Cu2O / Au to improve our germanium-based perovskite solar cell, designed The integration of interface defect layers IDL1 and IDL2 the reduction of recombination. The study revealed that these IDL1 and IDL2 layers play a crucial role in solar conversion performance. By adjusting the thickness, electron affinity and defect density of the IDL1 and IDL2 layers, the conversion efficiency of our device exceeds 19%. However, an increase in temperature in the environment can negatively affect the cell by decreasing its photovoltaic efficiency.},
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Study of the Effect of Interface Defect Layers (IDL1 and IDL2) on CsGeI3 Perovskite Solar Cells by SCAPS 1D Simulation
    
    AU  - Alioune Sow
    AU  - Saliou Seck
    AU  - Modou Faye
    AU  - Mamadou Salif Mane
    AU  - Amadou Ndiaye
    AU  - Bachirou Ndiaye
    AU  - Babacar Mbow
    AU  - Cheikh Sene
    Y1  - 2025/07/31
    PY  - 2025
    N1  - https://doi.org/10.11648/j.ijmsa.20251404.13
    DO  - 10.11648/j.ijmsa.20251404.13
    T2  - International Journal of Materials Science and Applications
    JF  - International Journal of Materials Science and Applications
    JO  - International Journal of Materials Science and Applications
    SP  - 134
    EP  - 143
    PB  - Science Publishing Group
    SN  - 2327-2643
    UR  - https://doi.org/10.11648/j.ijmsa.20251404.13
    AB  - Germanium-based perovskite solar cells have garnered significant interest within the scientific community due to their non-toxicity and excellent stability. However, their low conversion efficiency is an obstacle to their application and design. We designed a device with a normal configuration structured as Glass / FTO / SnO2 / IDL1 / CsGeI3 / IDL2 / Cu2O / Au to improve our germanium-based perovskite solar cell, designed The integration of interface defect layers IDL1 and IDL2 the reduction of recombination. The study revealed that these IDL1 and IDL2 layers play a crucial role in solar conversion performance. By adjusting the thickness, electron affinity and defect density of the IDL1 and IDL2 layers, the conversion efficiency of our device exceeds 19%. However, an increase in temperature in the environment can negatively affect the cell by decreasing its photovoltaic efficiency.
    VL  - 14
    IS  - 4
    ER  - 

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Author Information
  • Department Physics, Faculty of Sciences and Technology, Semiconductors and Solar Energy Laboratory, Cheikh Anta DIOP University, Dakar, Senegal

  • Department Physics, Faculty of Sciences and Technology, Semiconductors and Solar Energy Laboratory, Cheikh Anta DIOP University, Dakar, Senegal

  • Department Physics, Faculty of Sciences and Technology, Semiconductors and Solar Energy Laboratory, Cheikh Anta DIOP University, Dakar, Senegal

  • Department Physics, Faculty of Sciences and Technology, Semiconductors and Solar Energy Laboratory, Cheikh Anta DIOP University, Dakar, Senegal

  • Department Physics, Faculty of Sciences and Technology, Semiconductors and Solar Energy Laboratory, Cheikh Anta DIOP University, Dakar, Senegal

  • Department Physics, Faculty of Sciences and Technology, Semiconductors and Solar Energy Laboratory, Cheikh Anta DIOP University, Dakar, Senegal

  • Department Physics, Faculty of Sciences and Technology, Semiconductors and Solar Energy Laboratory, Cheikh Anta DIOP University, Dakar, Senegal

  • Department Physics, Faculty of Sciences and Technology, Semiconductors and Solar Energy Laboratory, Cheikh Anta DIOP University, Dakar, Senegal