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

Author

Listed:
  • Yicheng Zhao

    (Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
    Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

  • Jiyun Zhang

    (Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
    Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

  • Zhengwei Xu

    (Hunan University)

  • Shijing Sun

    (Photovaltaic Research Laboratory, Massachusetts Institute of Technology)

  • Stefan Langner

    (Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
    Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

  • Noor Titan Putri Hartono

    (Photovaltaic Research Laboratory, Massachusetts Institute of Technology)

  • Thomas Heumueller

    (Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
    Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

  • Yi Hou

    (University of Toronto)

  • Jack Elia

    (Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

  • Ning Li

    (Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
    Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

  • Gebhard J. Matt

    (Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

  • Xiaoyan Du

    (Helmholtz-Institute Erlangen-Nürnberg (HI-ERN))

  • Wei Meng

    (Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

  • Andres Osvet

    (Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

  • Kaicheng Zhang

    (Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

  • Tobias Stubhan

    (Helmholtz-Institute Erlangen-Nürnberg (HI-ERN))

  • Yexin Feng

    (Hunan University)

  • Jens Hauch

    (Helmholtz-Institute Erlangen-Nürnberg (HI-ERN))

  • Edward H. Sargent

    (University of Toronto)

  • Tonio Buonassisi

    (Photovaltaic Research Laboratory, Massachusetts Institute of Technology)

  • Christoph J. Brabec

    (Helmholtz-Institute Erlangen-Nürnberg (HI-ERN)
    Friedrich‐Alexander‐Universität Erlangen‐Nürnberg)

Abstract

Stability of perovskite-based photovoltaics remains a topic requiring further attention. Cation engineering influences perovskite stability, with the present-day understanding of the impact of cations based on accelerated ageing tests at higher-than-operating temperatures (e.g. 140°C). By coupling high-throughput experimentation with machine learning, we discover a weak correlation between high/low-temperature stability with a stability-reversal behavior. At high ageing temperatures, increasing organic cation (e.g. methylammonium) or decreasing inorganic cation (e.g. cesium) in multi-cation perovskites has detrimental impact on photo/thermal-stability; but below 100°C, the impact is reversed. The underlying mechanism is revealed by calculating the kinetic activation energy in perovskite decomposition. We further identify that incorporating at least 10 mol.% MA and up to 5 mol.% Cs/Rb to maximize the device stability at device-operating temperature (

Suggested Citation

  • 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, 2021. "Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-22472-x
    DOI: 10.1038/s41467-021-22472-x
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    Cited by:

    1. Junsheng Luo & Bowen Liu & Haomiao Yin & Xin Zhou & Mingjian Wu & Hongyang Shi & Jiyun Zhang & Jack Elia & Kaicheng Zhang & Jianchang Wu & Zhiqiang Xie & Chao Liu & Junyu Yuan & Zhongquan Wan & Thomas, 2024. "Polymer-acid-metal quasi-ohmic contact for stable perovskite solar cells beyond a 20,000-hour extrapolated lifetime," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

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