W. Filali
The Efficiency of Best-so-far ABC Algorithm Versus Analytical Methods for Schottky Diode Parameters Extraction
Filali, W.; Garoudja, E.; Oussalah, S.; Sengouga, N.; Henini, M.; Taylor, D.
Authors
E. Garoudja
S. Oussalah
N. Sengouga
Professor MOHAMED HENINI MOHAMED.HENINI@NOTTINGHAM.AC.UK
PROFESSOR OF APPLIED PHYSICS
D. Taylor
Abstract
In this work, we investigate the forward current-voltage characteristics of p-type Ti/Au/Al0.29Ga0.71As Schottky diode, which were measured over a range of temperatures from 260 to 400 K. The experimental current-voltage characteristics are used to extract the Schottky diode main electrical parameters such as ideality factor, saturation current, height barrier, and series resistance. The parameters extraction has been reached using the best-so-far Artificial Bee Colony (ABC) algorithm. ABC is an optimization technique, which is used in finding the best solution from all feasible solutions. The efficiency of this method has been assessed using current-voltage characteristics obtained over wide range of temperatures. The accuracy of the best-so-far ABC algorithm is compared to two well-known analytical methods called Cheung and standard. Extracted diode parameters from different methods show that best results are obtained by the suggested method.
Citation
Filali, W., Garoudja, E., Oussalah, S., Sengouga, N., Henini, M., & Taylor, D. (2019). The Efficiency of Best-so-far ABC Algorithm Versus Analytical Methods for Schottky Diode Parameters Extraction. journal of Nano- and Electronic Physics, 11(5), Article 05012. https://doi.org/10.21272/jnep.11%285%29.05012
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 20, 2019 |
Online Publication Date | Oct 25, 2019 |
Publication Date | 2019 |
Deposit Date | Dec 18, 2019 |
Publicly Available Date | Oct 26, 2020 |
Journal | Journal of Nano- and Electronic Physics |
Print ISSN | 2077-6772 |
Electronic ISSN | 2306-4277 |
Publisher | Sumy State University |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 5 |
Article Number | 05012 |
DOI | https://doi.org/10.21272/jnep.11%285%29.05012 |
Public URL | https://nottingham-repository.worktribe.com/output/3595289 |
Publisher URL | https://jnep.sumdu.edu.ua/en/full_article/2851 |
Files
JNEP 2019 Submited Version
(302 Kb)
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