{"title":"纳米MIFGMOSFET的概率模型","authors":"R. Banchuin, R. Chaisricharoen","doi":"10.1109/ECTICON.2017.8096355","DOIUrl":null,"url":null,"abstract":"The probabilistic model of the random variation in drain current of the nanometer multiple input floating-gate MOSFET (MIFGMOSFET) has been proposed in this research. The modeling process has taken the major physical level causes of random variations e.g. random dopant fluctuation and line edge roughness etc., into account. The proposed model have been found to be very accurate since it can fit the probabilistic distributions of normalized random drain current variations of the candidate MIFGMOSFET obtained by using the 90 nm SPICE BSIM4 based Monte-Carlo simulation with 99% confidence.","PeriodicalId":273911,"journal":{"name":"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Probabilistic model of nanometer MIFGMOSFET\",\"authors\":\"R. Banchuin, R. Chaisricharoen\",\"doi\":\"10.1109/ECTICON.2017.8096355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The probabilistic model of the random variation in drain current of the nanometer multiple input floating-gate MOSFET (MIFGMOSFET) has been proposed in this research. The modeling process has taken the major physical level causes of random variations e.g. random dopant fluctuation and line edge roughness etc., into account. The proposed model have been found to be very accurate since it can fit the probabilistic distributions of normalized random drain current variations of the candidate MIFGMOSFET obtained by using the 90 nm SPICE BSIM4 based Monte-Carlo simulation with 99% confidence.\",\"PeriodicalId\":273911,\"journal\":{\"name\":\"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECTICON.2017.8096355\",\"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 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECTICON.2017.8096355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The probabilistic model of the random variation in drain current of the nanometer multiple input floating-gate MOSFET (MIFGMOSFET) has been proposed in this research. The modeling process has taken the major physical level causes of random variations e.g. random dopant fluctuation and line edge roughness etc., into account. The proposed model have been found to be very accurate since it can fit the probabilistic distributions of normalized random drain current variations of the candidate MIFGMOSFET obtained by using the 90 nm SPICE BSIM4 based Monte-Carlo simulation with 99% confidence.