Accurate parameter estimation of Au/GaN/GaAs schottky diode model using grey wolf optimization

被引:0
作者
Rabehi, A. [1 ,2 ,3 ,4 ]
Douara, A. [1 ]
Helal, H. [4 ]
Younsi, A. Memdouh [2 ,3 ]
Amrani, M. [2 ]
Abbas, I. E. [4 ]
Comini, E. [4 ]
Benamara, Z. [1 ]
机构
[1] Univ Djillali Liabes Sidi Bel Abbes, Math Lab, BP 89, Sidi Bel Abbes 22000, Algeria
[2] Tissemsilt Univ, Fac Sci & Technol, Bougara, Algeria
[3] Univ Djelfa, Telecommun & Smart Syst Lab, POB 3117, Djelfa 17000, Algeria
[4] Sensor Lab Univ ofBrescia, SENSOR Lab, Via D Valotti 9, I-25133 Brescia, Italy
关键词
Schottky diodes; grey wolf optimization; electrical measurement; parameter estimation; Gan; GaAs; GAN; TEMPERATURE; EXTRACTION; GROWTH; FILM;
D O I
10.31349/RevMexFis.70.021004
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The Au/GaN/GaAs Schottky diode is a fundamental electronic component with versatile applications. In this study we delve into the parameter estimation of Au/GaN/GaAs Schottky diodes using the Grey Wolf Optimizer (GWO) algorithm. Our research encompasses experimental procedures, mathematical modeling, and optimization techniques to extract critical electrical parameters, including the ideality factor (n), Schottky barrier height (phi bn), and series resistance (RS). The primary aim is to enhance our comprehension of the behavior of Au/GaN/GaAs Schottky diodes and showcase the effectiveness of GWO in achieving precise parameter estimates. These diodes, featuring metal -semiconductor junctions, play pivotal roles in electronics, necessitating accurate parameter determination for optimized functionality. The effectiveness of the GWO algorithm was examined through a comparative analysis, employing analytical techniques pioneered by Cheung and Cheung. This study sought to assess the algorithm's performance and accuracy in parameter estimation for Au/GaN/GaAs Schottky diodes, providing valuable insights into its practical applicability in electronic device characterization and optimization. Keywords: Schottky diodes, Grey Wolf Optimization, Electrical measurement. Parameter estimation, Gan, GaAs
引用
收藏
页码:1 / 8
页数:8
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