An experimental study on determination of the shottky diode current-voltage characteristic depending on temperature with artificial neural network

Shottky diodes are one of the important components of electronic systems. Therefore, it is very important to determine the parameters of the diodes according to the area in which they will be used. One of the most important of these parameters is the current-voltage characteristic of the diode. In t...

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Veröffentlicht in:Physica. B, Condensed matter Condensed matter, 2021-05, Vol.608, p.412852, Article 412852
Hauptverfasser: Çolak, Andaç Batur, Güzel, Tamer, Yıldız, Oğuzhan, Özer, Metin
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container_start_page 412852
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creator Çolak, Andaç Batur
Güzel, Tamer
Yıldız, Oğuzhan
Özer, Metin
description Shottky diodes are one of the important components of electronic systems. Therefore, it is very important to determine the parameters of the diodes according to the area in which they will be used. One of the most important of these parameters is the current-voltage characteristic of the diode. In this study, firstly, current values of the Schottky diode in the voltage range of −2 V to +3 V are experimentally measured in the temperature range of 100–300 K. In order to estimate the current-voltage characteristic of Shottky diode at different temperatures, a multi-layer perceptron, a feed-forward back-propagation artificial neural network was developed using 362 experimental data obtained. In the artificial neural network where temperature (T) and voltage (V) values are selected as input variables and the hidden layer has 15 neurons, the current (I) value is obtained as output. The results obtained from the artificial neural network have been found to be in good agreement with the experimental data of the Schottky diode. •Shottky diodes are one of the important components of electronic systems.•Very important to determine the parameters of the diodes according to the area they will be used.•One of the most important of these parameters is the current-voltage characteristic of the diode.•This study is a valuable study aimed at filling this gap in the literature.
doi_str_mv 10.1016/j.physb.2021.412852
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subjects 6H–SiC
Artificial neural network
Artificial neural networks
Back propagation networks
Components
Current
Current voltage characteristics
Diodes
Electricity distribution
Electronic systems
Multilayers
Parameter estimation
Parameters
Schottky diodes
Shottky diode
Temperature
Voltage
title An experimental study on determination of the shottky diode current-voltage characteristic depending on temperature with artificial neural network
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