Nature Communications (Apr 2021)
Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning
- 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
Affiliations
- Yicheng Zhao
- Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
- Jiyun Zhang
- Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
- Zhengwei Xu
- Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University
- Shijing Sun
- Photovaltaic Research Laboratory, Massachusetts Institute of Technology
- Stefan Langner
- Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
- Noor Titan Putri Hartono
- Photovaltaic Research Laboratory, Massachusetts Institute of Technology
- Thomas Heumueller
- Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
- Yi Hou
- Department of Electrical and Computer Engineering, University of Toronto
- Jack Elia
- Department of Materials Science and Engineering, Institute of Materials for Electronics and Energy Technology (i‐MEET), Friedrich‐Alexander‐Universität Erlangen‐Nürnberg
- Ning Li
- Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
- Gebhard J. Matt
- Department of Materials Science and Engineering, Institute of Materials for Electronics and Energy Technology (i‐MEET), Friedrich‐Alexander‐Universität Erlangen‐Nürnberg
- Xiaoyan Du
- Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
- Wei Meng
- Department of Materials Science and Engineering, Institute of Materials for Electronics and Energy Technology (i‐MEET), Friedrich‐Alexander‐Universität Erlangen‐Nürnberg
- Andres Osvet
- Department of Materials Science and Engineering, Institute of Materials for Electronics and Energy Technology (i‐MEET), Friedrich‐Alexander‐Universität Erlangen‐Nürnberg
- Kaicheng Zhang
- Department of Materials Science and Engineering, Institute of Materials for Electronics and Energy Technology (i‐MEET), Friedrich‐Alexander‐Universität Erlangen‐Nürnberg
- Tobias Stubhan
- Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
- Yexin Feng
- Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices, School of Physics and Electronics, Hunan University
- Jens Hauch
- Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
- Edward H. Sargent
- Department of Electrical and Computer Engineering, University of Toronto
- Tonio Buonassisi
- Photovaltaic Research Laboratory, Massachusetts Institute of Technology
- Christoph J. Brabec
- Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
- DOI
- https://doi.org/10.1038/s41467-021-22472-x
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 9
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.
