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. 2024 Aug 28;14(17):1406.
doi: 10.3390/nano14171406.

SnO2-Based Interfacial Engineering towards Improved Perovskite Solar Cells

Bing'e Li  1 , Chuangping Liu  1 , Xiaoli Zhang  1
Affiliations

SnO2-Based Interfacial Engineering towards Improved Perovskite Solar Cells

Bing'e Li et al. Nanomaterials (Basel). .

Abstract

Interfacial engineering is of great concern in photovoltaic devices. Metal halide perovskite solar cells (PSCs) have garnered much attention due to their impressive development in power conversion efficiencies (PCEs). Benefiting from high electron mobility and good energy-level alignment with perovskite, aqueous SnO2 as an electron transport layer has been widely used in n-i-p perovskite solar cells. However, the interfacial engineering of an aqueous SnO2 layer on PSCs is still an obscure and confusing process. Herein, we proposed the preparation of n-i-p perovskite solar cells with different concentrations of SnO2 as electron transport layers and achieved optimized PCE with an efficiency of 20.27%. I Interfacial engineering with regard to the SnO2 layer is investigated by observing the surface morphology, space charge-limited current (SCLC) with the use of an electron-only device, and time-resolved photoluminescence (TRPL) of perovskite films.

Keywords: aqueous SnO2; interfacial engineering; perovskite solar cells.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Schematic illustration of device fabrication process.
Figure 2
Figure 2
SEM images of perovskite and particle dimension distribution. (a) SnO2 4%, (b) SnO2 3%, (c) SnO2 2.4%, and (d) SnO2 2%.
Figure 3
Figure 3
(a) PL comparison, (b) TRPL, (c) conductivity of perovskite films deposited on different SnO2 layers and (d) SCLC measurement.
Figure 4
Figure 4
Statistical distribution of the photovoltaic parameters for different PSCs with varied SnO2 concentrations. Distribution of (a) Jsc, (b) Voc, (c) FF, and (d) PCE.
See this image and copyright information in PMC

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Grants and funding

This research was funded by Natural Science Foundation of Guangdong Province, grant number 2023A1515011467, and Natural Science Foundation of Guangdong Province, grant number 2023A1515011467.

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