Deep Learning Extraction of the Temperature-Dependent Parameters of Bulk Defects.
Sign Up to like & getrecommendations! Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c12162
Abstract: Bulk defects in silicon solar cells are a key contributor to loss of efficiency. To detect and identify those defects, temperature- and injection-dependent lifetime spectroscopy is usually used, and the defect parameters are traditionally extracted… read more here.
Keywords: defect parameters; temperature dependent; bulk defects; extraction ... See more keywords
Extracting bulk defect parameters in silicon wafers using machine learning models
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DOI: 10.1038/s41524-020-00410-7
Abstract: The performance of high-efficiency silicon solar cells is limited by the presence of bulk defects. Identification of these defects has the potential to improve cell performance and reliability. The impact of bulk defects on minority… read more here.
Keywords: machine; machine learning; using machine; bulk ... See more keywords
Numerical and Experimental Investigations on Influence of Internal Defect Parameters on Partial Discharge Induced UHF Signals in Gas Insulated Switchgear
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DOI: 10.1109/access.2022.3213690
Abstract: A detailed study of the influence of internal defect parameters on partial discharge (PD) induced ultrahigh frequency (UHF) signals propagated through an L section of metal encapsulated gas insulated switchgear (GIS) is presented. The study… read more here.
Keywords: defect parameters; partial discharge; influence internal; discharge induced ... See more keywords