{"title":"基于EP和NEGF方法的全带量子输运建模纳米线晶体管的应用","authors":"M. Pala, D. Esseni","doi":"10.1109/SISPAD.2019.8870406","DOIUrl":null,"url":null,"abstract":"The active region of many modern electron devices consists of semiconductors structured at truly nanometric dimensions, either as ultra-thin-body FETs (UTRFETs), or as 3D architectures such as Fin-FETs, multi-gate FETs (MuGFETs), and nanowire (NW) FETs [1]. Quantum mechanical effects have thus become prominent not only in terms of subband splitting [2], but also in terms of source-drain tunnnelling in CMOS FEFs [3], [4], [5], and band-to-band-tunnnelling (BTBT) in Tunnel FETs (TFETs) [6], [7]. The relevance of quantum effects in nanoscale FETs is also witnessed by the fact hat CMOS based quantum dots have been proposed as a platform for quantum computing [8].","PeriodicalId":6755,"journal":{"name":"2019 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)","volume":"2 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Full band quantum transport modelling with EP and NEGF methods; application to nanowire transistors\",\"authors\":\"M. Pala, D. Esseni\",\"doi\":\"10.1109/SISPAD.2019.8870406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The active region of many modern electron devices consists of semiconductors structured at truly nanometric dimensions, either as ultra-thin-body FETs (UTRFETs), or as 3D architectures such as Fin-FETs, multi-gate FETs (MuGFETs), and nanowire (NW) FETs [1]. Quantum mechanical effects have thus become prominent not only in terms of subband splitting [2], but also in terms of source-drain tunnnelling in CMOS FEFs [3], [4], [5], and band-to-band-tunnnelling (BTBT) in Tunnel FETs (TFETs) [6], [7]. The relevance of quantum effects in nanoscale FETs is also witnessed by the fact hat CMOS based quantum dots have been proposed as a platform for quantum computing [8].\",\"PeriodicalId\":6755,\"journal\":{\"name\":\"2019 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)\",\"volume\":\"2 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISPAD.2019.8870406\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISPAD.2019.8870406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Full band quantum transport modelling with EP and NEGF methods; application to nanowire transistors
The active region of many modern electron devices consists of semiconductors structured at truly nanometric dimensions, either as ultra-thin-body FETs (UTRFETs), or as 3D architectures such as Fin-FETs, multi-gate FETs (MuGFETs), and nanowire (NW) FETs [1]. Quantum mechanical effects have thus become prominent not only in terms of subband splitting [2], but also in terms of source-drain tunnnelling in CMOS FEFs [3], [4], [5], and band-to-band-tunnnelling (BTBT) in Tunnel FETs (TFETs) [6], [7]. The relevance of quantum effects in nanoscale FETs is also witnessed by the fact hat CMOS based quantum dots have been proposed as a platform for quantum computing [8].