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

Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marron, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2020 47th IEEE Photovoltaic Specialists Conference, PVSC 2020
PublisherIEEE
Pages693-695
Number of pages3
ISBN (Electronic)9781728161150
DOIs
Publication statusPublished - 14 Jun 2020
MoE publication typeA4 Conference publication
EventIEEE Photovoltaic Specialists Conference - Calgary, Canada
Duration: 15 Jun 202021 Aug 2020
Conference number: 47

Publication series

NameConference Record of the IEEE Photovoltaic Specialists Conference
PublisherIEEE
Volume2020-June
ISSN (Print)0160-8371

Conference

ConferenceIEEE Photovoltaic Specialists Conference
Abbreviated titlePVSC
Country/TerritoryCanada
CityCalgary
Period15/06/202021/08/2020

Keywords

  • buffer layer
  • capping layer
  • degradation
  • perovskite solar cell
  • stability

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