Machine learning-based method for predicting C-V-T characteristics and electrical parameters of GaAs/AlGaAs Multi-Quantum Wells Schottky diodes
(2024)
Journal Article
Garoudja, E., Baouta, A., Derbal, A., Filali, W., Oussalah, S., Khelladi, M., …Henini, M. (2024). Machine learning-based method for predicting C-V-T characteristics and electrical parameters of GaAs/AlGaAs Multi-Quantum Wells Schottky diodes. Physica B: Condensed Matter, https://doi.org/10.1016/j.physb.2024.415998
In this work, two models of artificial neural networks are developed to predict the electrical parameters and capacitance-voltage characteristics of GaAs/AlGaAs multi-quantum wells Schottky diodes at different temperatures. Capacitance-Voltage-Temper... Read More about Machine learning-based method for predicting C-V-T characteristics and electrical parameters of GaAs/AlGaAs Multi-Quantum Wells Schottky diodes.