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Published on 23 May 2024
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Lu,S. (2024). A systematic analysis of wide band gap semiconductor used in power electronics. Applied and Computational Engineering,65,161-166.
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A systematic analysis of wide band gap semiconductor used in power electronics

Shengbo Lu *,1,
  • 1 University of Leeds

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/65/20240487

Abstract

In recent years, the field of power electronics has witnessed a significant shift towards the adoption of wide bandgap (WBG) materials, marking a pivotal change in the design and efficiency of electronic devices. This paper presents a comprehensive systematic analysis of wide bandgap materials and their semiconductor applications in power electronics. Initially, the paper provides essential background information, elucidating the emerging importance of WBG materials in modern electronics. It then delves into various types of wide bandgap semiconductors, examining their fundamental operating principles and theoretical underpinnings. Subsequent sections of the paper highlight the advantages of using wide bandgap semiconductors, including their superior performance and efficiency benefits. The discussion extends to practical implementations, showcasing several existing applications of wide bandgap semiconductors in diverse power electronics scenarios. Additionally, this paper critically addresses the prevailing challenges and obstacles encountered in the application and manufacturing processes of these materials. Moreover, it offers insightful predictions about the future trajectory and potential advancements in wide bandgap device technology. The paper culminates with a concise conclusion summarizing the impact and prospects of wide bandgap devices in the realm of power electronics.

Keywords

Wide Bandgap, Power Electronics, Semiconductors

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Cite this article

Lu,S. (2024). A systematic analysis of wide band gap semiconductor used in power electronics. Applied and Computational Engineering,65,161-166.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of Urban Intelligence: Machine Learning in Smart City Solutions - CONFSEML 2024

Conference website: https://www.confmss.org/
ISBN:978-1-83558-427-9(Print) / 978-1-83558-428-6(Online)
Conference date: 2 February 2024
Editor:Omar Marwan
Series: Applied and Computational Engineering
Volume number: Vol.65
ISSN:2755-2721(Print) / 2755-273X(Online)

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