Real-Time ITO Layer Thickness for Solar Cells Using Deep Learning and Optical Interference Phenomena
Real-Time ITO Layer Thickness for Solar Cells Using Deep Learning and Optical Interference Phenomena
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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The thickness of the indium tin oxide (ITO) layer is a critical parameter affecting the performance of solar cells. Traditional measurement methods require sample collection, leading to manufacturing interruptions and potential quality issues. In this paper, we propose a real-time, non-contact approach using deep learning and optical interference p...
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Real-Time ITO Layer Thickness for Solar Cells Using Deep Learning and Optical Interference Phenomena
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TN_cdi_doaj_primary_oai_doaj_org_article_a26690ce646943dea4b71e6570219813
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a26690ce646943dea4b71e6570219813
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en16166049
