Dynamics of Perovskites: from the Nano to the Macroscale
Marina Leite a
a University of Maryland, 2123 Chemical and Nuclear Engineering Building, College Park, 20742, United States
Invited Speaker, Marina Leite, presentation 073
DOI: https://doi.org/10.29363/nanoge.nipho.2020.073
Publication date: 25th November 2019

The primary obstacle towards perovskite photovoltaics reliable power generation conversion is the lack of material/device stability. We investigate perovskite’s dynamics from the macro- to the nanoscale by combining game-changing characterization methods that enables us to quantify device performance and material degradation. We emulate realistic solar cells operation conditions while submitting the perovskites to controlled cycles where we vary the device exposure to water, oxygen, bias, temperature, and illumination. We propose the use of machine learning to identify the contribution of each parameter on device performance and recovery, both individually and when acting in combination.

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