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Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning

Authors :
Yicheng Zhao
Jiyun Zhang
Zhengwei Xu
Shijing Sun
Stefan Langner
Noor Titan Putri Hartono
Thomas Heumueller
Yi Hou
Jack Elia
Ning Li
Gebhard J. Matt
Xiaoyan Du
Wei Meng
Andres Osvet
Kaicheng Zhang
Tobias Stubhan
Yexin Feng
Jens Hauch
Edward H. Sargent
Tonio Buonassisi
Christoph J. Brabec
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

Current view of the impact of A-site cation on the stability of perovskite materials and devices is derived from accelerated ageing tests at high temperature, which is beyond normal operation range. Here, the authors reveal the great impact of ageing condition on assessing the photothermal stability of mixed-cation perovskites using high-throughput robot system coupled with machine learning.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.6e6c34ab2e744d74b31acd762a19829a
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-22472-x