Ajou University repository

Exploring Transport Behavior in Hybrid Perovskites Solar Cells via Machine Learning Analysis of Environmental-Dependent Impedance Spectroscopyoa mark
  • Kim, Dohyung ;
  • Muckley, Eric S. ;
  • Creange, Nicole ;
  • Wan, Ting Hei ;
  • Ann, Myung Hyun ;
  • Quattrocchi, Emanuele ;
  • Vasudevan, Rama K. ;
  • Kim, Jong H. ;
  • Ciucci, Francesco ;
  • Ivanov, Ilia N. ;
  • Kalinin, Sergei V. ;
  • Ahmadi, Mahshid
Citations

SCOPUS

0

Citation Export

Publication Year
2021-08-01
Journal
Advanced Science
Publisher
John Wiley and Sons Inc
Citation
Advanced Science, Vol.8 No.15
Keyword
distribution of relaxation timehybrid perovskitesimpedance spectroscopymachine learningsolar cells
Mesh Keyword
Equivalent circuit modelImpedance spectroscopyNonnegative matrix factorizationOptoelectronic propertiesPhotogenerated hole carriersRecombination processStructural instabilityTransport resistance
All Science Classification Codes (ASJC)
Medicine (miscellaneous)Chemical Engineering (all)Materials Science (all)Biochemistry, Genetics and Molecular Biology (miscellaneous)Engineering (all)Physics and Astronomy (all)
Abstract
Hybrid organic–inorganic perovskites are one of the promising candidates for the next-generation semiconductors due to their superlative optoelectronic properties. However, one of the limiting factors for potential applications is their chemical and structural instability in different environments. Herein, the stability of (FAPbI3)0.85(MAPbBr3)0.15 perovskite solar cell is explored in different atmospheres using impedance spectroscopy. An equivalent circuit model and distribution of relaxation times (DRTs) are used to effectively analyze impedance spectra. DRT is further analyzed via machine learning workflow based on the non-negative matrix factorization of reconstructed relaxation time spectra. This exploration provides the interplay of charge transport dynamics and recombination processes under environment stimuli and illumination. The results reveal that in the dark, oxygen atmosphere induces an increased hole concentration with less ionic character while ionic motion is dominant under ambient air. Under 1 Sun illumination, the environment-dependent impedance responses show a more striking effect compared with dark conditions. In this case, the increased transport resistance observed under oxygen atmosphere in equivalent circuit analysis arises due to interruption of photogenerated hole carriers. The results not only shed light on elucidating transport mechanisms of perovskite solar cells in different environments but also offer an effective interpretation of impedance responses.
ISSN
2198-3844
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/32093
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85108272168&origin=inward
DOI
https://doi.org/2-s2.0-85108272168
Type
Article
Funding
D.K. and M.A. acknowledge support from Center for Nanophase Materials Sciences (CNMS) User Facility, project no. CNMS2019‐264. The measurements of environmental impedance spectroscopy (E.S.M., I.N.I.) and the analytics effort (S.V.K., R.K.V.) was performed and supported at the Center for Nanophase Materials Sciences (CNMS), which is a DOE Office of Science User Facility. T.H.W., E.Q., and F.C. gratefully acknowledge the Research Grant Council of Hong Kong for support through the General Research Fund projects 16201820 and 16206019 and the support of the Guangzhou Science and Technology Program (No. 201807010074). E.Q. thanks the Hong Kong Ph.D. Fellowship Scheme for the support.D.K. and M.A. acknowledge support from Center for Nanophase Materials Sciences (CNMS) User Facility, project no. CNMS2019-264. The measurements of environmental impedance spectroscopy (E.S.M., I.N.I.) and the analytics effort (S.V.K., R.K.V.) was performed and supported at the Center for Nanophase Materials Sciences (CNMS), which is a DOE Office of Science User Facility. T.H.W., E.Q., and F.C. gratefully acknowledge the Research Grant Council of Hong Kong for support through the General Research Fund projects 16201820 and 16206019 and the support of the Guangzhou Science and Technology Program (No. 201807010074). E.Q. thanks the Hong Kong Ph.D. Fellowship Scheme for the support.
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Kim, Jong Hyun Image
Kim, Jong Hyun김종현
Department of Applied Chemistry & Biological Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.