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Investigation on Buffer Layers Influence on the Internal Quantum Efficiency of CH3NH3Sn(1-y)GeyI3 Lead-Free Perovskite-Based Solar Cells

Received: 4 October 2025     Accepted: 18 October 2025     Published: 31 October 2025
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Abstract

In this work, we have carried out a study in the modeling of photovoltaic devices based on lead-free perovskite materials, such as CH3NH3Sn(1-y)GeyI3, in which the germanium content varies from 0 to 1, using thin ZnO, TiO2 or SnO2, films as window layers. Thin Cu2O or NiO layers used as buffer layers ensure the n-p junction with the perovskite absorber material and act as an interface layer with the transport window layer. With the above window and buffer layer materials, photovoltaic devices have been designed. The study highlights the influence of geometric parameters such as the diffusion length of the minority carriers in the buffer layer as well as the thickness of this layer on the performance of photovoltaic devices. The evolution of the internal quantum efficiency is analyzed as a function of the window and buffer layer materials and also as a function of various other parameters including the thickness of the buffer layer materials and the minority carrier diffusion length in these materials. The results showed that NiO thin films offer better performances, especially when combined with ZnO or SnO2 window layers, respectively. The corresponding models with structures ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) and SnO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) give an internal quantum efficiency of 72.7% and 70.9% respectively.

Published in Advances in Materials (Volume 14, Issue 4)
DOI 10.11648/j.am.20251405.12
Page(s) 95-104
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

Perovskites, Modeling, Lead-free Perovskite Solar Cell

1. Introduction
In recent years, solar cells based on organic/inorganic hybrid materials with a perovskite structure have developed very rapidly, and their photovoltaic conversion efficiencies have increased from 3.8% in 2009 to 25.2% in 2019 . The high-performance perovskite solar cells currently reported are mainly lead-based materials . The presence of lead, which is very harmful to humans and environment, as well as the stability issue of these materials are major challenges for the development of these photovoltaic structures . In response to these difficulties, a large number of alternative absorber materials based on lead-free or low-lead perovskites and inorganic perovskites have been developed. Theoretically, lead can be replaced by metals such as tin (Sn) , bismuth (Bi) , copper (Cu) , germanium (Ge) or antimony (Sb) .
In this work, we carried out a modeling study of photovoltaic devices based on a CH3NH3Sn0.75Ge0.25I3-type perovskite material in which the germanium content is varied from 0 to 1.
In thin-film solar cells, window and buffer layers play a decisive role in optimizing photovoltaic performances of devices.
A wide band-gap window layer which allows light to pass through while minimizing reflection losses and helps limit recombination of charge carriers on the surface, is required. The buffer layer, which is an interface layer, is also a wide band-gap layer allowing an adaptation of energy levels by reducing the energy barrier between materials to facilitate the transport of charges carriers. It also limits defects that can trap charges carriers and reduce the performance of the device.
In our recent work, a modeling and analysis of a mixed Sn-Ge lead free perovskite based solar cells have been carried out . This study shows that the best photovoltaic devices are obtained for values of the germanium (Ge) content close to 0.25. In the range 0 to 1 of the Germanium content, the highest internal quantum efficiency (65.8%) is obtained for a value of y = 0.25 and for an absorber thickness of about 0.5 μm.
The thin-film photovoltaic devices investigated in this work are based on CH3NH3Sn0.75Ge0.25I3 lead-free perovskite absorber material. Thin films of ZnO, TiO2 and SnO2 were chosen as window layers. The buffer layer materials used which are Cu2O and NiO ensure good electrical contact and the formation of the n-p junction with the absorber material. With the above window and buffer layer materials, the following photovoltaic devices ZnO(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p), TiO2(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p), SnO2(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p) and ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p), TiO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p), SnO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) have been designed. In a recent work, the influence of window layers on the spectral evolution of the total current flowing through such solar cells, have been investigated .
In the present work we investigate the influence of physical parameters of buffer layers on the internal quantum efficiency of these photovoltaic cells.
2. Theoretical Approach and Model
The equations used to model solar cell operation are based on the continuity equations of the minority carriers in each part of the solar cell . These continuity equations make it possible to study all the phenomena that occur in semiconductors, and to determine the properties of devices manufactured using these materials.
The space charge region is assumed to lie between the two layers n-type buffer layer Cu2O or NiO and p-type CH3NH3Sn0.75Ge0.25I3. The electric field is also assumed to be zero outside this region. In the steady-state case, the continuity equations are given by:
In the absence of an electric field, we can have:
Our calculations are limited to the one-dimensional case. The solar cell model used in this work is illustrated in Figure 1 .
Figure 1. CH3NH3Sn0.75Ge0.25I3(p) perovskite solar cell Model.
Its structure is . The absorber layer is the CH3NH3Sn0.75Ge0.25I3 perovskite. It is a p-type semiconductor material and has a function of absorbing incident photons from solar radiation to generate electron-hole pairs . The particular feature of this material is to have forbidden band width which can be modulated according its germanium content germanium. The forbidden bandwidth is 1.3 eV for and 2.0 eV for , which influences the optoelectronic properties of the solar cell. By enhancing the germanium content, we can thus continuously vary the band gap width between 1.3 eV and 2.0 eV and obtain different solar cells .
The Cu2O or NiO buffer layer, of a few nanometers thick, is deposited on the surface of CH3NH3Sn0.75Ge0.25I3. This n-type semiconductor layer provides the n-p junction with the absorber and acts as an interface with the window layer . With a direct gap of 2.1 eV, the non-toxic Cu2O is considered one of the most promising materials for photovoltaic applications. The window layer which a transparent conductive oxide ZnO, TiO2 or SnO2, completes the solar cell structure. Its thickness varies from . The window layer allows incident photons to pass through to the absorber, and also collects charge thanks to its high conductivity.
2.1. Current Density Generated by Light in the Emitter
The current density Jph, E generated by the incident photons in the emitter comprises two contributions: the current density generated in the n+-Window layer region, Jph1and the current density generated in the n-Buffer layer region, Jph2.
2.1.1. Current Density Generated in the (n+)-Region
In the window layer region (ZnO, TiO2 or SnO2) where minority carriers are the holes, the continuity equation is given by:
and
In this equation is the minority carries concentration, are the hole diffusion length and the hole diffusion coefficient in the windows layer region, respectively.
and represent the hole lifetime and absorption coefficient of the windows layer respectively.
is the reflection coefficient and is incident photon flux of energy E and wavelength .
The resolution of this equation was make taking into account the following boundary conditions:
Where is the recombination velocity on the front surface of the window layer.
The photocurrent in this region is given by:
2.1.2. Current Density Generated in the n - Region
In this region, which consists of a thin layer of serving as a buffer layer, the minority carriers are the holes. The continuity equation for the minority carriers is given by:
Where:
and
Where BL stands for .
is the minority carries concentration. are the hole diffusion length and the hole diffusion coefficient in the buffer layer region, respectively.
and represent the hole lifetime and absorption coefficient of the buffer layer respectively.
Taking into account the following boundary conditions defined as follows,
the photocurrent in the region is given by:
2.2. Current Density Generated in Space Charge Area
In the charge space region, carrier recombination may be neglected. Indeed, it is assumed that the transit time of the free carriers in this zone is much shorter than their lowest lifetime because of the strong electric field which prevails therein. So, carriers will not have time to recombine and will all be collected.
In this region, the current density is given by:
2.3. Current Density Generated in the p – Type Region
In this region, the photo-current is an electron due current. The continuity equation for minority carriers (electrons) is given by:
Where:
and
is the minority carries concentration. are the electron diffusion length and the electron diffusion coefficient in the absorber layer region, respectively.
represent the electron lifetime and the absorption coefficient of the absorber CH3NH3Sn0.75Ge0.25I3 layer.
With boundary conditions defined as follows:
we get the following expression for the photocurrent in the absorber layer:
2.4. Expression of the Total Photocurrent
The total photocurrent results from the contributions of the different parts of the cell . For a given wavelength, it represents, for our model, the sum of all the above current components, which include the hole diffusion currents in the window and buffer regions, the current generated in the space charge region and the electron diffusion current in the p-type region.
The internal quantum efficiency is then given:
After developing our model and establishing the governing equations, we calculated the total current flowing through the solar cell using the absorption coefficients of ZnO and Cu2O as a function of photon energy. The absorption coefficients values were taken from Zhang et al. and Kar et al. . Those of the perovskite CH3NH3Sn0.75Ge0.25I3 materials are given by S. Nagane for photon energies ranging from 1.2eV to 3.0eV. We have approximately completed the values by extrapolation for photons of energy below 1.2eV and for photons of energy above 3.0eV. This makes it possible to cover the entire visible spectrum and achieve higher efficiency.
3. Results and Discussion
3.1. Influence of the Buffer Thickness and Influence of the Diffusion Length of Minority Carriers in Buffer on the Internal Quantum Efficiency
3.1.1. ZnO(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p) Structure Model
Figure 2. Influence of the Cu2O layer thickness on the internal quantum efficiency: case of the solar cell with ZnO window layer.
Figure 2 shows the evolution of the internal quantum efficiency of the device for different values of the Cu2O buffer layer thickness. The minority carrier diffusion length in the Cu2O layer is while its thickness values are varied from . The hole diffusion length and the ZnO window layer thickness are set at , respectively. The electron diffusion length in the CH3NH3Sn0.75Ge0.25I3 absorber layer is set at to and its thickness at .
Figure 3 shows the effect of the minority carrier diffusion length in the Cu2O layer on the internal quantum efficiency. The thickness of the Cu2O layer is set at . The diffusion length of the holes varies from .
Figure 3. Evolution of the internal quantum efficiency with the minority carrier diffusion length in the Cu2O buffer layer: case of the solar cell with the ZnO window layer.
In Figure 2, the variation in the thickness of the layer shows a drop in internal quantum efficiency for values greater than the carrier diffusion length, and becomes weak for energies greater than 2 eV. Indeed, when the value of the Cu2O thickness is large compared to the value of the diffusion length, the majority of the carriers photogenerated in this region do not reach the junction to contribute to the current delivered by the solar cell. Instead, they are absorbed by the Cu2O (in the energy range above 2.1 eV) or recombine. To prevent this from happening, it is important to reduce the value of the thickness relative to the carrier diffusion length in the design to improve the efficiency of the photovoltaic device, as shown in Figure 2.
3.1.2. TiO2(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p) Structure Model
Figure 4 shows the evolution of the internal quantum efficiency for different values of Cu2O layer thickness. The carrier diffusion length of the Cu2O layer is , and the thickness values range from . The hole diffusion length and thickness of the TiO2 window layer is respectively. The electron scattering length of the CH3NH3Sn0.75Ge0.25I3 absorber layer is estimated at and its thickness at .
Figure 4. Influence of the Cu2O buffer layer thickness on the internal quantum efficiency: case of the solar cell with TiO2 window layer.
Figure 5 shows the internal quantum efficiency for different values of minority carrier scattering lengths in the Cu2O layer. Hole scattering lengths are varied from . The thickness of the Cu2O layer is fixed at .
Figure 5. Evolution of the internal quantum efficiency with the minority carrier diffusion lengths in the Cu2O buffer layer: case of the solar cell with the TiO2 window layer.
The structure TiO2(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p) exhibits lower internal quantum efficiency values as a function of energy than the structure ZnO(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p). For thickness values between , the internal quantum efficiency is between 50% and 60%. For thicknesses in the range, the overall internal quantum efficiency remains low for values between 40% and 50%. These low internal quantum efficiency values can be explained by the fact that when the layer thickness is large relative to the diffusion length, the majority of photogenerated carriers in this region do not reach the junction to contribute to the current delivered by the solar cell. These are absorbed by the (in the energy range above 2.1 eV) or recombine.
3.1.3. SnO2(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p) Structure Model
The evolution of the internal quantum efficiency for different values of Cu2O layer thickness in the SnO2(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p) structure shown in the figure. Cu2O thickness values range from . The hole diffusion length and thickness of the ZnO window layer is respectively. The electron scattering length of the CH3NH3Sn0.75Ge0.25I3 absorber layer is estimated at and its thickness at .
Figure 6. Influence of the Cu2O buffer layer thickness on the internal quantum efficiency: case of the solar cell with ZnO window layer.
The effect of the Cu2O layer's minority carrier diffusion length on the internal quantum efficiency is shown in figure 7. The thickness of the Cu2O layer is fixed at . The diffusion lengths of the holes vary from .
Figure 7. Evolution of the internal quantum efficiency with the minority carrier diffusion lengths in the Cu2O buffer layer: case of the solar cell with the SnO2 window layer.
Varying the thickness of the Cu2O window layer in the case of the structural model shows a good improvement in the internal quantum efficiency of the total current flowing through the solar cell. For small thickness values between , the internal quantum efficiency is between 60% and 80%. Those in the range give the best performance. Internal quantum efficiency drops from 70.2% to 64.3% for thicknesses between . This is because, for each given thickness, there is a diffusion length at which the internal quantum efficiency is maximum.
3.2. Influence of the Thickness and Minority Carrier Diffusion Length on the NiO Buffer Layer on the Internal Quantum Efficiency
In this section, we have also used NiO as buffer layer. NiO has a gap energy of . The NiO buffer layer, also acts as a window, enabling the electrical transition between the and the absorber material . The absorption coefficients values of the NiO layer were taken from for photon energies ranging from .
With the aim of optimizing the internal quantum efficiency obtained with the Cu2O material and selecting the best performing structure, in this section we study the influence of the layer with the different window layers ZnO, TiO2 and SnO2. The same continuity equations established and solved in Section 2 were used for the different models with the NiO material as buffer layer.
3.2.1. ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) Structure Model
Figure 8. Influence of the NiO buffer layer thickness on the internal quantum efficiency: case of the solar cell with ZnO window layer.
Figure 8 shows the influence of layer thickness on internal quantum efficiency. The diffusion length of NiO carriers is fixed at . We vary the thickness from . The carrier scattering length in the ZnO layer and its thickness are evaluated at 0.55 micrometers. For the perovskite layer, its thickness is set at and the diffusion length of its carriers at .
Figure 9 shows the internal quantum efficiency as a function of energy for different values of carrier scattering lengths in the NiO layer. Its thickness is fixed at . The diffusion length varies from . The carrier diffusion length in the ZnO layer and its thickness are evaluated at . For the perovskite layer, its thickness is set at and the diffusion length of its carriers at .
Figure 9. Evolution of the internal quantum efficiency with the minority carrier diffusion lengths in the NiO buffer layer: case of the solar cell with the ZnO window layer.
As the thickness of the NiO window layer varies, we see a good improvement in the internal quantum efficiency of the total current flowing through the solar cell. For thicknesses between , the internal quantum efficiency is between 70% and 80%. Those in the range give the best performance. Internal quantum efficiency drops from 70.2% to 64.3% for thicknesses between . This is because, for each given thickness, there is a scattering length at which the internal quantum efficiency is maximum.
3.2.2. TiO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) Structure Model
Figure 10. Influence of the NiO buffer layer thickness on the internal quantum efficiency: case of the solar cell with TiO2 window layer.
Figure 10 shows the internal quantum efficiency as a function of energy for different values of NiO layer thickness. The diffusion length of the de carriers is fixed at . We vary the thickness from . The carrier diffusion length in the ZnO layer and its thickness are evaluated at . For the perovskite layer, its thickness is set at and the diffusion length of its carriers at .
Figure 11 shows the evolution of the internal quantum efficiency as a function of energy for different values of diffusion length of the NiO layer of the TiO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) structure model. The thickness of the NiO layer is fixed at , and the diffusion length varies from 0.01 to 0.3 mm. The diffusion length of the carriers in the ZnO layer and its thickness are evaluated at 0.55 mm. For the perovskite layer, its thickness is set at 0.5 mm and the diffusion length of its carriers at 0.5 mm.
Figure 11. Evolution of the internal quantum efficiency with the minority carrier diffusion lengths in the NiO buffer layer: case of the solar cell with the TiO2 window layer.
3.2.3. SnO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) Structure Model
Figure 12 shows the internal quantum efficiency as a function of energy for different values of NiO layer thickness. The scattering length is fixed at and the thickness varies from .
Figure 12. Influence of the NiO buffer layer thickness on the internal quantum efficiency: case of the solar cell with SnO2 window layer.
Figure 13 shows the evolution of the internal quantum efficiency of the SnO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) structure model for different values of the diffusion length of the NiO layer . The thickness is fixed at and the diffusion length varies from . The thickness and diffusion length of the SnO2 carriers are estimated at . The perovskite layer thickness is set at and the carrier diffusion length at .
Figure 13. Evolution of the internal quantum efficiency with the minority carrier diffusion lengths in the NiO buffer layer: case of the solar cell with the SnO2 window layer.
As the thickness of the NiO window layer varies, we see a good improvement in the internal quantum efficiency of the total current flowing through the solar cell. For thicknesses between , the internal quantum efficiency is between 70% and 80%. Those in the range give the best performance. Internal quantum efficiency drops from 68.1% to 62.7% for thicknesses between . This is because, for each given thickness, there is a scattering length at which the internal quantum efficiency is at its maximum.
3.3. Comparative Study of Internal Quantum Efficiency Models with NiO
Figure 14 shows the internal quantum efficiency of the three models studied with different window layers ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p), TiO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) et SnO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p). This figure shows the best internal quantum efficiency of the three models. For all three curves, we set the thickness of the ZnO, TiO2 et SnO2 (window layers at , and the carrier scattering lengths at . The values for carrier scattering lengths and NiO layer thicknesses are respectively. For the absorber layer, the carrier diffusion length is equal to and the thickness . For the three different models ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p), TiO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) and SnO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) and the internal quantum efficiency are 72.7%, 50.9% and 70.9% respectively. The ZnO and NiO materials for transport layers with the structure ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) model give the best internal quantum efficiency of 72.7%.
Figure 14. Internal quantum efficiency as a function of photon energy for the three models: ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p), TiO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) and SnO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p).
4. Conclusion
In this article, we have carried out a theoretical study to determine the internal quantum efficiency of photovoltaic devices using the lead-free perovskite material CH3NH3Sn0.75Ge0.25I3 as absorber. The effect of the minority carrier diffusion length and the thickness of the Cu2O and NiO buffer layers on the spectral evolution of the total current flowing through the solar cell was investigated. The materials ZnO, TiO2 and SnO2 were used as transport window layers. This enabled us to obtain the following different structural ZnO(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p), TiO2(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p), SnO2(n+)/Cu2O(n)/CH3NH3Sn0.75Ge0.25I3(p) and ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p), TiO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p), SnO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) models. Optimization of these structures shows that the best internal quantum efficiency is obtained with the transport window layer materials ZnO and . The corresponding model with structure ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) gives an internal quantum efficiency of 72.7%.
Abbreviations

IQE

Internal Quantum Efficiency

Ge

Germanium

Sn

Tin

WL

Windows Layer

BL

Buffer Layer

Acknowledgments
This section serves to recognize contributions that do not meet authorship criteria, including technical assistance, donations, or organizational aid. Individuals or organizations should be acknowledged with their full names. The acknowledgments should be placed after the conclusion and before the references section in the manuscript.
Author Contributions
Saliou Seck: Conceptualization, Data curation, Formal Analysis, Methodology, Software, Validation, Writing – original draft, Writing – review & editing
Alioune Sow: Visualization
Mamadou Salif Mane: Visualization
Cheikh Sene: Supervision, Validation, Visualization, Writing – review & editing
Conflicts of Interest
The authors declare no conflicts of interest.
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    Seck, S., Sow, A., Mane, M. S., Faye, M., Keita, E. H. M., et al. (2025). Investigation on Buffer Layers Influence on the Internal Quantum Efficiency of CH3NH3Sn(1-y)GeyI3 Lead-Free Perovskite-Based Solar Cells. Advances in Materials, 14(4), 95-104. https://doi.org/10.11648/j.am.20251405.12

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    Seck, S.; Sow, A.; Mane, M. S.; Faye, M.; Keita, E. H. M., et al. Investigation on Buffer Layers Influence on the Internal Quantum Efficiency of CH3NH3Sn(1-y)GeyI3 Lead-Free Perovskite-Based Solar Cells. Adv. Mater. 2025, 14(4), 95-104. doi: 10.11648/j.am.20251405.12

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    Seck S, Sow A, Mane MS, Faye M, Keita EHM, et al. Investigation on Buffer Layers Influence on the Internal Quantum Efficiency of CH3NH3Sn(1-y)GeyI3 Lead-Free Perovskite-Based Solar Cells. Adv Mater. 2025;14(4):95-104. doi: 10.11648/j.am.20251405.12

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  • @article{10.11648/j.am.20251405.12,
      author = {Saliou Seck and Alioune Sow and Mamadou Salif Mane and Modou Faye and El Hadji Mamadou Keita and Amadou Ndiaye and Bachirou Ndiaye and Babacar Mbow and Cheikh Sene},
      title = {Investigation on Buffer Layers Influence on the Internal Quantum Efficiency of CH3NH3Sn(1-y)GeyI3 Lead-Free Perovskite-Based Solar Cells
    },
      journal = {Advances in Materials},
      volume = {14},
      number = {4},
      pages = {95-104},
      doi = {10.11648/j.am.20251405.12},
      url = {https://doi.org/10.11648/j.am.20251405.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.am.20251405.12},
      abstract = {In this work, we have carried out a study in the modeling of photovoltaic devices based on lead-free perovskite materials, such as CH3NH3Sn(1-y)GeyI3, in which the germanium content varies from 0 to 1, using thin ZnO, TiO2 or SnO2, films as window layers. Thin Cu2O or NiO layers used as buffer layers ensure the n-p junction with the perovskite absorber material and act as an interface layer with the transport window layer. With the above window and buffer layer materials, photovoltaic devices have been designed. The study highlights the influence of geometric parameters such as the diffusion length of the minority carriers in the buffer layer as well as the thickness of this layer on the performance of photovoltaic devices. The evolution of the internal quantum efficiency is analyzed as a function of the window and buffer layer materials and also as a function of various other parameters including the thickness of the buffer layer materials and the minority carrier diffusion length in these materials. The results showed that NiO thin films offer better performances, especially when combined with ZnO or SnO2 window layers, respectively. The corresponding models with structures ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) and SnO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) give an internal quantum efficiency of 72.7% and 70.9% respectively.
    },
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Investigation on Buffer Layers Influence on the Internal Quantum Efficiency of CH3NH3Sn(1-y)GeyI3 Lead-Free Perovskite-Based Solar Cells
    
    AU  - Saliou Seck
    AU  - Alioune Sow
    AU  - Mamadou Salif Mane
    AU  - Modou Faye
    AU  - El Hadji Mamadou Keita
    AU  - Amadou Ndiaye
    AU  - Bachirou Ndiaye
    AU  - Babacar Mbow
    AU  - Cheikh Sene
    Y1  - 2025/10/31
    PY  - 2025
    N1  - https://doi.org/10.11648/j.am.20251405.12
    DO  - 10.11648/j.am.20251405.12
    T2  - Advances in Materials
    JF  - Advances in Materials
    JO  - Advances in Materials
    SP  - 95
    EP  - 104
    PB  - Science Publishing Group
    SN  - 2327-252X
    UR  - https://doi.org/10.11648/j.am.20251405.12
    AB  - In this work, we have carried out a study in the modeling of photovoltaic devices based on lead-free perovskite materials, such as CH3NH3Sn(1-y)GeyI3, in which the germanium content varies from 0 to 1, using thin ZnO, TiO2 or SnO2, films as window layers. Thin Cu2O or NiO layers used as buffer layers ensure the n-p junction with the perovskite absorber material and act as an interface layer with the transport window layer. With the above window and buffer layer materials, photovoltaic devices have been designed. The study highlights the influence of geometric parameters such as the diffusion length of the minority carriers in the buffer layer as well as the thickness of this layer on the performance of photovoltaic devices. The evolution of the internal quantum efficiency is analyzed as a function of the window and buffer layer materials and also as a function of various other parameters including the thickness of the buffer layer materials and the minority carrier diffusion length in these materials. The results showed that NiO thin films offer better performances, especially when combined with ZnO or SnO2 window layers, respectively. The corresponding models with structures ZnO(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) and SnO2(n+)/NiO(n)/CH3NH3Sn0.75Ge0.25I3(p) give an internal quantum efficiency of 72.7% and 70.9% respectively.
    
    VL  - 14
    IS  - 4
    ER  - 

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  • Abstract
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  • Document Sections

    1. 1. Introduction
    2. 2. Theoretical Approach and Model
    3. 3. Results and Discussion
    4. 4. Conclusion
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  • Abbreviations
  • Acknowledgments
  • Author Contributions
  • Conflicts of Interest
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