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

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

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 envir...

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Bibliographic Details
Main Authors: Dohyung Kim, Eric S. Muckley, Nicole Creange, Ting Hei Wan, Myung Hyun Ann, Emanuele Quattrocchi, Rama K. Vasudevan, Jong H. Kim, Francesco Ciucci, Ilia N. Ivanov, Sergei V. Kalinin, Mahshid Ahmadi
Format: Article
Language:English
Published: Wiley 2021-08-01
Series:Advanced Science
Subjects:
distribution of relaxation time
hybrid perovskites
impedance spectroscopy
machine learning
solar cells
Online Access:https://doi.org/10.1002/advs.202002510

Internet

https://doi.org/10.1002/advs.202002510

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