{"title":"碳化硅器件SPICE模型的参数估计","authors":"D. Bisewski","doi":"10.23919/EMPC.2017.8346918","DOIUrl":null,"url":null,"abstract":"The paper deals with the problem of parameters estimation of built-in in SPICE models of semiconductor devices. A new parameters estimation procedure based on the genetic algorithm is proposed and discussed. The usefulness and accuracy of presented procedure are illustrated by means of the results of measurements and SPICE models simulations for selected semiconductor devices made of silicon carbide.","PeriodicalId":329807,"journal":{"name":"2017 21st European Microelectronics and Packaging Conference (EMPC) & Exhibition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Parameters estimation of SPICE models for silicon carbide devices\",\"authors\":\"D. Bisewski\",\"doi\":\"10.23919/EMPC.2017.8346918\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deals with the problem of parameters estimation of built-in in SPICE models of semiconductor devices. A new parameters estimation procedure based on the genetic algorithm is proposed and discussed. The usefulness and accuracy of presented procedure are illustrated by means of the results of measurements and SPICE models simulations for selected semiconductor devices made of silicon carbide.\",\"PeriodicalId\":329807,\"journal\":{\"name\":\"2017 21st European Microelectronics and Packaging Conference (EMPC) & Exhibition\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 21st European Microelectronics and Packaging Conference (EMPC) & Exhibition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/EMPC.2017.8346918\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 21st European Microelectronics and Packaging Conference (EMPC) & Exhibition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EMPC.2017.8346918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parameters estimation of SPICE models for silicon carbide devices
The paper deals with the problem of parameters estimation of built-in in SPICE models of semiconductor devices. A new parameters estimation procedure based on the genetic algorithm is proposed and discussed. The usefulness and accuracy of presented procedure are illustrated by means of the results of measurements and SPICE models simulations for selected semiconductor devices made of silicon carbide.