Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning
oleh: 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
| Format: | Article |
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| Diterbitkan: | Nature Portfolio 2021-04-01 |
Deskripsi
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.