Exploring Transport Behavior in Hybrid Perovskites Solar Cells via Machine Learning Analysis of Environmental-Dependent Impedance Spectroscopy.

Autor: Kim D; Joint Institute for Advanced Materials, Department of Materials Science and Engineering, University of Tennessee, Knoxville, TN, 37996, USA., Muckley ES; The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA., Creange N; Department of Materials Science and Engineering, North Carolina State University, Raleigh, NC, 27606, USA., Wan TH; Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong., Ann MH; Department of Molecular Science and Technology, Ajou University, Suwon, 16499, Republic of Korea., Quattrocchi E; Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong., Vasudevan RK; The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA., Kim JH; Department of Molecular Science and Technology, Ajou University, Suwon, 16499, Republic of Korea., Ciucci F; Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong.; Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Hong Kong., Ivanov IN; The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA., Kalinin SV; The Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA., Ahmadi M; Joint Institute for Advanced Materials, Department of Materials Science and Engineering, University of Tennessee, Knoxville, TN, 37996, USA.
Jazyk: angličtina
Zdroj: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2021 Aug; Vol. 8 (15), pp. e2002510. Date of Electronic Publication: 2021 Jun 21.
DOI: 10.1002/advs.202002510
Abstrakt: 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 (FAPbI 3 ) 0.85 (MAPbBr 3 ) 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.
(© 2021 The Authors. Advanced Science published by Wiley-VCH GmbH.)
Databáze: MEDLINE
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