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

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

Show other versions (1)

© 2020 IEEE. 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...

Full description

Bibliographic Details
Main Authors: Hartono, Noor Titan Putri (Author), Thapa, Janak (Author), Tiihonen, Armi (Author), Oviedo, Felipe (Author), Batali, Clio (Author), Yoo, Jason J (Author), Liu, Zhe (Author), Li, Ruipeng (Author), Marron, David Fuertes (Author), Bawendi, Moungi G (Author), Buonassisi, Tonio (Author), Sun, Shijing (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-12-14T19:55:16Z.
Subjects:
Article
Online Access:Get fulltext
Description
Summary:© 2020 IEEE. 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.

Similar Items