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

Zhao Y, Hauch J, Zhang J, Xu Z, Sun S, Langner S, Hartono NTP, Heumüller T, Hou Y, Elia J, Li N, Matt G, Du X, Meng W, Osvet A, Zhang K, Stubhan T, Feng Y, Sargent EH, Buonassisi T, Brabec C (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Nature Communications Nature Publishing Group: Nature Communications

Book Volume: 12

Article Number: 2191

Journal Issue: 1

DOI: 10.1038/s41467-021-22472-x

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 (<100°C). We close by demonstrating the methylammonium-containing perovskite solar cells showing negligible efficiency loss compared to its initial efficiency after 1800 hours of working under illumination at 30°C.

Authors with CRIS profile

Yicheng Zhao Institute Materials for Electronics and Energy Technology (i-MEET) Jens Hauch
Jiyun Zhang Institute Materials for Electronics and Energy Technology (i-MEET) Stefan Langner Institute Materials for Electronics and Energy Technology (i-MEET) Thomas Heumüller Institute Materials for Electronics and Energy Technology (i-MEET) Jack Elia Institute Materials for Electronics and Energy Technology (i-MEET) Ning Li Institute Materials for Electronics and Energy Technology (i-MEET) Gebhard Matt Institute Materials for Electronics and Energy Technology (i-MEET) Wei Meng Institute Materials for Electronics and Energy Technology (i-MEET) Andres Osvet Institute Materials for Electronics and Energy Technology (i-MEET) Kaicheng Zhang Institute Materials for Electronics and Energy Technology (i-MEET) Christoph Brabec Institute Materials for Electronics and Energy Technology (i-MEET)

Additional Organisation(s)

Graduiertenkolleg 2495 Energiekonvertierungssysteme: von Materialien zu Bauteilen (Energy Conversion Systems: From Materials to Devices)

Involved external institutions

University of Toronto CA Canada (CA) Massachusetts Institute of Technology (MIT) US United States (USA) (US) Helmholtz-Institut Erlangen-Nürnberg für Erneuerbare Energien (HI-ERN) DE Germany (DE) Hunan University / Húnán Dàxué CN China (CN)

How to cite

APA:

Zhao, Y., Hauch, J., Zhang, J., Xu, Z., Sun, S., Langner, S.,... Brabec, C. (2021). Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-22472-x

MLA:

Zhao, Yicheng, et al. "Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning." Nature Communications 12.1 (2021).

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