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Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning

Authors :
Felipe Oviedo
Jason J. Yoo
Clio Batali
Shijing Sun
Moungi G. Bawendi
Armi Tiihonen
Zhe Liu
Noor Titan Putri Hartono
Ruipeng Li
David Fuertes Marrón
Tonio Buonassisi
Janak Thapa
Source :
2020 47th IEEE Photovoltaic Specialists Conference (PVSC).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

After reaching a device efficiency level comparable to silicon, perovskite solar cell's next big challenge is to tackle its environmental instability issue. To solve this problem, researchers have started incorporating a buffer layer called ‘capping layer’, consisting of low dimensional (LD) perovskite, sandwiched between perovskite absorber and hole transport layer. However, there is no conclusive agreement on how to select capping layer material that best extends the stability. By using feature importance rank on the regression models, we can start to see which molecular properties on capping layer have significant impact in suppressing degradation.

Details

Database :
OpenAIRE
Journal :
2020 47th IEEE Photovoltaic Specialists Conference (PVSC)
Accession number :
edsair.doi...........95decc0b212ef0247bd612773e06dd52