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Capping Layers Design Guidelines for Stable Perovskite Solar Cells via Machine Learning
- 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.
- Subjects :
- Materials science
Silicon
business.industry
Perovskite solar cell
chemistry.chemical_element
Hole transport layer
02 engineering and technology
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Instability
0104 chemical sciences
chemistry
Optoelectronics
Degradation (geology)
Thermal stability
0210 nano-technology
business
Layer (electronics)
Perovskite (structure)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 47th IEEE Photovoltaic Specialists Conference (PVSC)
- Accession number :
- edsair.doi...........95decc0b212ef0247bd612773e06dd52