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Discovering Process Dynamics for Scalable Perovskite Solar Cell Manufacturing with Explainable AI.
Adv. Mater., 13 (2023)
Large-area processing of perovskite semiconductor thin-films is complex and evokes unexplained variance in quality, posing a major hurdle for the commercialization of perovskite photovoltaics. Advances in scalable fabrication processes are currently limited to gradual and arbitrary trial-and-error procedures. While the in situ acquisition of photoluminescence (PL) videos has the potential to reveal important variations in the thin-film formation process, the high dimensionality of the data quickly surpasses the limits of human analysis. In response, this study leverages deep learning (DL) and explainable artificial intelligence (XAI) to discover relationships between sensor information acquired during the perovskite thin-film formation process and the resulting solar cell performance indicators, while rendering these relationships humanly understandable. The study further shows how gained insights can be distilled into actionable recommendations for perovskite thin-film processing, advancing toward industrial-scale solar cell manufacturing. This study demonstrates that XAI methods will play a critical role in accelerating energy materials science.
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4.100
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Deep Learning ; Energy Materials Science ; Explainable Artificial Intelligence (xai) ; Knowledge Discovery ; Perovskite Solar Cells; Counterfactual Explanations
Language
english
Publication Year
2023
HGF-reported in Year
2023
ISSN (print) / ISBN
0935-9648
e-ISSN
1521-4095
Journal
Advanced materials
Quellenangaben
Pages: 13
Publisher
Wiley
Publishing Place
Weinheim
Reviewing status
Peer reviewed
Institute(s)
Helmholtz AI - KIT (HAI - KIT)
Grants
German Federal Ministry of Education and Research (Solar Tap innovation platform)
Karlsruhe School of Optics und Photonics
Helmholtz Association
Helmholtz Imaging (HI), a platform of the Helmholtz Incubator on Information and Data Science
Karlsruhe School of Optics und Photonics
Helmholtz Association
Helmholtz Imaging (HI), a platform of the Helmholtz Incubator on Information and Data Science
WOS ID
001114984900001
Scopus ID
85178895367
Erfassungsdatum
2023-12-18