{"title":"亚微米mosfet的解析电荷共享预测模型","authors":"P. Chatterjee, J. Leiss","doi":"10.1109/IEDM.1980.189744","DOIUrl":null,"url":null,"abstract":"An analytic-predictor model which describes phenomena observed in small geometry MOSFETs is presented. I-V characteristics from subthreshold through saturation are predicted within the bounds of process parameter variations using only physical and structural constants as inputs. A key to the success of this model is the Dynamic Average Doping Transformation which accounts for the doping profile within the channel and is supported by experimental data. Process-device-circuit trade-offs may be examined using this model and a desk top calculator.","PeriodicalId":180541,"journal":{"name":"1980 International Electron Devices Meeting","volume":"214 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"An analytic charge-sharing predictor model for submicron MOSFETs\",\"authors\":\"P. Chatterjee, J. Leiss\",\"doi\":\"10.1109/IEDM.1980.189744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An analytic-predictor model which describes phenomena observed in small geometry MOSFETs is presented. I-V characteristics from subthreshold through saturation are predicted within the bounds of process parameter variations using only physical and structural constants as inputs. A key to the success of this model is the Dynamic Average Doping Transformation which accounts for the doping profile within the channel and is supported by experimental data. Process-device-circuit trade-offs may be examined using this model and a desk top calculator.\",\"PeriodicalId\":180541,\"journal\":{\"name\":\"1980 International Electron Devices Meeting\",\"volume\":\"214 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1980 International Electron Devices Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEDM.1980.189744\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1980 International Electron Devices Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEDM.1980.189744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An analytic charge-sharing predictor model for submicron MOSFETs
An analytic-predictor model which describes phenomena observed in small geometry MOSFETs is presented. I-V characteristics from subthreshold through saturation are predicted within the bounds of process parameter variations using only physical and structural constants as inputs. A key to the success of this model is the Dynamic Average Doping Transformation which accounts for the doping profile within the channel and is supported by experimental data. Process-device-circuit trade-offs may be examined using this model and a desk top calculator.