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Design and Simulation of Efficient SnS-Based Solar Cell Using Spiro-OMeTAD as Hole Transport Layer.

Pooja TiwariMaged F AlotaibiYas M Al-HadeethiVaibhava SrivastavaBassim Arkook SadanandPooja LohiaDilip Kumar DwivediAhmad UmarHassan AlgadiSotirios Baskoutas
Published in: Nanomaterials (Basel, Switzerland) (2022)
In the present paper, the theoretical investigation of the device structure ITO/CeO 2 /SnS/Spiro-OMeTAD/Mo of SnS-based solar cell has been performed. The aim of this work is to examine how the Spiro-OMeTAD HTL affects the performance of SnS-based heterostructure solar cell. Using SCAPS-1D simulation software, various parameters of SnS-based solar cell such as work function, series and shunt resistance and working temperature have been investigated. With the help of Spiro-OMeTAD, the suggested cell's open-circuit voltage was increased to 344 mV. The use of Spiro-OMeTAD HTL in the SnS-based solar cell resulted in 14% efficiency increase, and the proposed heterojunction solar cell has 25.65% efficiency. The cell's performance is determined by the carrier density and width of the CeO 2 ETL (electron transport layer), SnS absorber layer and Spiro-OMeTAD HTL (hole transport layer). These data reveal that the Spiro-OMeTAD solar cells could have been a good HTL (hole transport layer) in regards to producing SnS-based heterojunction solar cell with high efficiency and reduced cost.
Keyphrases
  • single cell
  • solar cells
  • machine learning
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  • dna methylation
  • gene expression
  • deep learning
  • minimally invasive
  • genome wide
  • high efficiency
  • data analysis