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Neuro-fuzzy modeling of deformation parameters for fusion-barriers
(Science Direct, 2021)
The fusion-barrier distribution is very sensitive to the structure of the colliding nuclei such as nuclear quadrupole and hexadecapole deformation parameters and their signs. If the nuclei that enter the fusion reaction ...
Modeling of Schottky diode characteristic by machine learning techniques based on experimental data with wide temperature range
(Science Direct, 2021)
In this study, 4 common machine learning methods have been used to model the I–V characteristic of the Au/Ni/n-GaN/undoped GaN Schottky diode. The current values of previously produced Au/Ni/n-GaN/undoped GaN Schottky diode ...
Modeling of Schottky diode characteristic by machine learning techniques based on experimental data with wide temperature range
(18 Ekim 20)
In this study, 4 common machine learning methods have been used to model the I–V characteristic of the Au/Ni/n-GaN/undoped GaN Schottky diode. The current values of previously produced Au/Ni/n-GaN/undoped GaN Schottky diode ...
Neural network estimations of annealed and non-annealed Schottky diode characteristics at wide temperatures range
(15/06/2022)
n this study, Artificial Neural Network (ANN) model has been proposed to characterize the annealed and the
non-annealed Schottky diode from experimental data. The experimental current values of Ni/n-type 6H–SiC
Schottky ...