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• W4385782870 abstract "Abstract While perovskite solar cells have reached competitive efficiency values during the last decade, stability issues remain a critical challenge to be addressed for pushing this technology towards commercialisation. In this study, we analyse a large homogeneous dataset of Maximum Power Point Tracking (MPPT) operational ageing data that we collected with a custom-built High-throughput Ageing System in the past 3 years. In total, 2,245 MPPT ageing curves are analysed which were obtained under controlled conditions (continuous illumination, controlled temperature and atmosphere) from devices comprising various lead-halide perovskite absorbers, charge selective layers, contact layers, and architectures. In a high-level statistical analysis, we find a correlation between the maximum reached power conversion efficiency (PCE) and the relative PCE loss observed after 150-hours of ageing, with more efficient cells statistically also showing higher stability. Additionally, using the unsupervised machine learning method self-organising map, we cluster this dataset based on the degradation curve shapes. We find a correlation between the frequency of particular shapes of degradation curves and the maximum reached PCE." @default.
• W4385782870 created "2023-08-13" @default.
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• W4385782870 date "2023-08-12" @default.
• W4385782870 modified "2023-10-03" @default.
• W4385782870 title "Stability follows efficiency based on the analysis of a large perovskite solar cells ageing dataset" @default.
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• W4385782870 doi "https://doi.org/10.1038/s41467-023-40585-3" @default.
• W4385782870 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37573324" @default.
• W4385782870 hasPublicationYear "2023" @default.
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