A Novel Parameter Identification Approach for C–V–T Characteristics of Multi-Quantum Wells Schottky Diode Using Ant Lion Optimizer

Filali, W.; Garoudja, E.; Oussalah, S.; Mekheldi, M.; Sengouga, N.; Henini, M.

Abstract

We report the capacitance-voltage (C–V) characteristics of multi quantum wells Schottky diode. This diode is based on Aluminum gallium arsenide, which is highly promising wide band gap semiconductor for applications in high power electronic and optoelectronic devices. The elaboration process and the characterization phase have been carried out at Nottingham University. The C–V characteristics have been measured at different temperature ranging from 20 to 400 K. The barrier height and effective density were than extracted from 1/(C/A)2 plot using heuristic algorithm which called ALO (Ant Lion Optimizer). The accuracy of the extraction method is verified through the gotten results.

Citation

Filali, W., Garoudja, E., Oussalah, S., Mekheldi, M., Sengouga, N., & Henini, M. (2019). A Novel Parameter Identification Approach for C–V–T Characteristics of Multi-Quantum Wells Schottky Diode Using Ant Lion Optimizer. Mikroelektronika / Russian Microelectronics, 48(6), 428-434. https://doi.org/10.1134/s1063739719660028

• Journal Article Type: Article
• Acceptance Date: Oct 1, 2019
• Online Publication Date: Jan 14, 2020
• Publication Date: Nov 1, 2019
• Deposit Date: Jan 15, 2020
• Publicly Available Date: Nov 2, 2020
• Journal: Russian Microelectronics
• Print ISSN: 1063-7397
• Electronic ISSN: 1608-3415
• Publisher: MAIK Nauka/Interperiodica
• Peer Reviewed: Peer Reviewed
• Volume: 48
• Issue: 6
• Pages: 428-434
• DOI: https://doi.org/10.1134/s1063739719660028
• Keywords: Electrical and Electronic Engineering; Materials Chemistry; Electronic, Optical and Magnetic Materials; Condensed Matter Physics
• Public URL: https://nottingham-repository.worktribe.com/output/3732286
• Publisher URL: https://link.springer.com/article/10.1134%2FS1063739719660028
• Additional Information: Received: 2 September 2019; First Online: 14 January 2020