Presentation
22 August 2020 Tackling instability in halide perovskites from the macro to the nanoscale
Author Affiliations +
Abstract
The individual and combined effects of extrinsic (humidity and oxygen) and intrinsic (light, bias, and temperature) stressors on halide perovskite materials by implementing complementary optical and electrical characterization methods. These experiments are critical to assess the stability of the large variety of perovskite materials available for light-absorbing and -emitting applications. To pursue optimal ‘rest’ and ‘recovery’ conditions for device stable operation, we propose the implementation of a machine learning approach based on supervised learning upon exposing the samples to distinct values of humidity, oxygen, illumination, bias, and temperature, which will be discussed in details.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marina S. Leite "Tackling instability in halide perovskites from the macro to the nanoscale", Proc. SPIE 11474, Organic, Hybrid, and Perovskite Photovoltaics XXI, 114740I (22 August 2020); https://doi.org/10.1117/12.2570486
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KEYWORDS
Perovskite

Humidity

Bromine

Machine learning

Oxygen

In situ metrology

Luminescence

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