THE DETERMINATION OF DEEP-LEVEL PARAMETERS IN SILICON BASED ON CAPACITANCE SPECTROSCOPY

dc.contributor.authorH. D. Mamarasulova
dc.date.accessioned2025-12-29T18:16:43Z
dc.date.issued2025-01-08
dc.description.abstractThis study explores the characterization of deep-level parameters in silicon through capacitance spectroscopy techniques. Deep-level defects play a crucial role in determining the electrical properties of silicon-based devices, impacting their performance in a variety of applications, including sensors, transistors, and photovoltaics. Capacitance spectroscopy offers a non-destructive method to identify and quantify these deep-level defects by analyzing the capacitance-voltage characteristics of semiconductor materials. The paper discusses the theoretical foundations of capacitance spectroscopy, the experimental setup used for measurements, and the interpretation of results to extract key parameters such as defect energy levels, capture cross-sections, and concentration profiles. Through comprehensive analysis, this work contributes to a better understanding of the behavior of deep-level defects in silicon, providing valuable insights for optimizing material properties and enhancing device reliability.
dc.formatapplication/pdf
dc.identifier.urihttps://webofjournals.com/index.php/4/article/view/2815
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/25389
dc.language.isoeng
dc.publisherWeb of Journals Publishing
dc.relationhttps://webofjournals.com/index.php/4/article/view/2815/2777
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceWeb of Technology: Multidimensional Research Journal; Vol. 3 No. 1 (2024): WOT; 11-14
dc.source2938-3757
dc.subjectCapacitance Spectroscopy Deep-Level Defects Silicon Semiconductor Materials Electrical Properties Defect Energy Levels Capture Cross-Sections Defect Concentration.
dc.titleTHE DETERMINATION OF DEEP-LEVEL PARAMETERS IN SILICON BASED ON CAPACITANCE SPECTROSCOPY
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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