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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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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•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.</description><identifier>ISSN: 0921-4526</identifier><identifier>EISSN: 1873-2135</identifier><identifier>DOI: 10.1016/j.physb.2021.412852</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>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</subject><ispartof>Physica. B, Condensed matter, 2021-05, Vol.608, p.412852, Article 412852</ispartof><rights>2021 Elsevier B.V.</rights><rights>Copyright Elsevier BV May 1, 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-8216e04b2dddcf04cec9971729ee04c2b008b9cf57afa7fe6b815df23c3517333</citedby><cites>FETCH-LOGICAL-c331t-8216e04b2dddcf04cec9971729ee04c2b008b9cf57afa7fe6b815df23c3517333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.physb.2021.412852$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Çolak, Andaç Batur</creatorcontrib><creatorcontrib>Güzel, Tamer</creatorcontrib><creatorcontrib>Yıldız, Oğuzhan</creatorcontrib><creatorcontrib>Özer, Metin</creatorcontrib><title>An experimental study on determination of the shottky diode current-voltage characteristic depending on temperature with artificial neural network</title><title>Physica. B, Condensed matter</title><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.</description><subject>6H–SiC</subject><subject>Artificial neural network</subject><subject>Artificial neural networks</subject><subject>Back propagation networks</subject><subject>Components</subject><subject>Current</subject><subject>Current voltage characteristics</subject><subject>Diodes</subject><subject>Electricity distribution</subject><subject>Electronic systems</subject><subject>Multilayers</subject><subject>Parameter estimation</subject><subject>Parameters</subject><subject>Schottky diodes</subject><subject>Shottky diode</subject><subject>Temperature</subject><subject>Voltage</subject><issn>0921-4526</issn><issn>1873-2135</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOHDEQRa0oSAwkX8DGUtY98aOfiywQAoKExIasLbddpj3M2B27Gpjf4IvjYVinNqUq1blXdQm54GzNGW9_btbztM_jWjDB1zUXfSO-kBXvO1kJLpuvZMUGwau6Ee0pOct5w0rxjq_I-2Wg8DZD8jsIqLc042L3NAZqASHtfNDoyxQdxQloniLi855aHy1Qs6RUqOolblE_lXnSSZuC-YzeFIUZgvXh6SCHsCsuGpcE9NXjRHVC77zxxTPAkj4avsb0_I2cOL3N8P2zn5M_N9ePV7-r-4fbu6vL-8pIybHqBW-B1aOw1hrHagNmGDreiQHK2oiRsX4cjGs67XTnoB173lgnpJEN76SU5-THUXdO8e8CGdUmLikUSyWaum5kx1tWruTxyqSYcwKn5pKVTnvFmTqErzbqI3x1CF8dwy_UryMF5YEXD0ll4yEYsD6BQWWj_y__D38Ckv0</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Çolak, Andaç Batur</creator><creator>Güzel, Tamer</creator><creator>Yıldız, Oğuzhan</creator><creator>Özer, Metin</creator><general>Elsevier B.V</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20210501</creationdate><title>An experimental study on determination of the shottky diode current-voltage characteristic depending on temperature with artificial neural network</title><author>Çolak, Andaç Batur ; Güzel, Tamer ; Yıldız, Oğuzhan ; Özer, Metin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-8216e04b2dddcf04cec9971729ee04c2b008b9cf57afa7fe6b815df23c3517333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>6H–SiC</topic><topic>Artificial neural network</topic><topic>Artificial neural networks</topic><topic>Back propagation networks</topic><topic>Components</topic><topic>Current</topic><topic>Current voltage characteristics</topic><topic>Diodes</topic><topic>Electricity distribution</topic><topic>Electronic systems</topic><topic>Multilayers</topic><topic>Parameter estimation</topic><topic>Parameters</topic><topic>Schottky diodes</topic><topic>Shottky diode</topic><topic>Temperature</topic><topic>Voltage</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Çolak, Andaç Batur</creatorcontrib><creatorcontrib>Güzel, Tamer</creatorcontrib><creatorcontrib>Yıldız, Oğuzhan</creatorcontrib><creatorcontrib>Özer, Metin</creatorcontrib><collection>CrossRef</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Physica. B, Condensed matter</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Çolak, Andaç Batur</au><au>Güzel, Tamer</au><au>Yıldız, Oğuzhan</au><au>Özer, Metin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An experimental study on determination of the shottky diode current-voltage characteristic depending on temperature with artificial neural network</atitle><jtitle>Physica. B, Condensed matter</jtitle><date>2021-05-01</date><risdate>2021</risdate><volume>608</volume><spage>412852</spage><pages>412852-</pages><artnum>412852</artnum><issn>0921-4526</issn><eissn>1873-2135</eissn><abstract>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.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.physb.2021.412852</doi></addata></record> |
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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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