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Published on 13 March 2025
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Zhang,Y. (2025). GaN Photoconductivity Simulation Imaging Method Based on EIT Technology. Applied and Computational Engineering,141,23-29.
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GaN Photoconductivity Simulation Imaging Method Based on EIT Technology

Yixuan Zhang *,1,
  • 1 Nanjing University, Xian Lin Avenue, Nanjing, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.21490

Abstract

With the continuous development of electronic technology, the frontier research on semiconductor materials with excellent properties has become a significant direction in the field of condensed matter physics. Among them, the third-generation semiconductor material GaN is an ideal semiconductor material. However, there are still issues with the detection methods for some of its physical and chemical properties. At the same time, Electrical Impedance Tomography (EIT) technology, as a mature medical technique, can quickly obtain electrical impedance tomography results and may exhibit excellent performance in detecting certain properties of GaN materials. Accordingly, this paper starts from the detection of the photoconductive effect and introduces medical EIT technology into the simulation imaging of GaN photoconductivity. The principle of this simulation method is elaborated, and the three selected algorithms are deeply analyzed. The simulation results are analyzed and compared in terms of errors. The advantages and existing problems of this method are summarized, and future prospects are discussed.

Keywords

GaN, photoconductivity simulation, EIT, iterative algorithm

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Cite this article

Zhang,Y. (2025). GaN Photoconductivity Simulation Imaging Method Based on EIT Technology. Applied and Computational Engineering,141,23-29.

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 the 3rd International Conference on Mechatronics and Smart Systems

Conference website: https://2025.confmss.org/
ISBN:978-1-83558-997-7(Print) / 978-1-83558-998-4(Online)
Conference date: 16 June 2025
Editor:Mian Umer Shafiq
Series: Applied and Computational Engineering
Volume number: Vol.141
ISSN:2755-2721(Print) / 2755-273X(Online)

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