N. Seoane, M. Aldegunde, K. Kalna, A. García-Loureiro
{"title":"纳米InGaAs FinFET中金属晶粒诱导电流变异性的MC/DD研究","authors":"N. Seoane, M. Aldegunde, K. Kalna, A. García-Loureiro","doi":"10.1109/SISPAD.2014.6931611","DOIUrl":null,"url":null,"abstract":"The on- and off-current variability due to TiN metal grain workfunction fluctuations in a 10.4 nm gate length In0.53Ga0.47As FinFET is analysed using two in-house simulation tools based on the finite element method: a 3D Drift-Diffusion device simulator and a 3D ensemble Monte Carlo simulator, that include quantum-corrections through the density gradient approach. The Id-Vg characteristics have been compared in the sub-threshold region against ballistic NEGF simulations, showing an excellent agreement. Monte Carlo simulations, considering a 〈100〉 channel orientation, show a larger on-current variability, over a 120% increase, compared with the results from Drift-Diffusion simulations. In this study, three different metal grain sizes (10, 7 and 5 nm) have been analysed. We have observed that the underestimation of the variability when using Drift-Diffusion simulations is increasing with a reduction in the grain size.","PeriodicalId":101858,"journal":{"name":"2014 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"MC/DD study of metal grain induced current variability in a nanoscale InGaAs FinFET\",\"authors\":\"N. Seoane, M. Aldegunde, K. Kalna, A. García-Loureiro\",\"doi\":\"10.1109/SISPAD.2014.6931611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The on- and off-current variability due to TiN metal grain workfunction fluctuations in a 10.4 nm gate length In0.53Ga0.47As FinFET is analysed using two in-house simulation tools based on the finite element method: a 3D Drift-Diffusion device simulator and a 3D ensemble Monte Carlo simulator, that include quantum-corrections through the density gradient approach. The Id-Vg characteristics have been compared in the sub-threshold region against ballistic NEGF simulations, showing an excellent agreement. Monte Carlo simulations, considering a 〈100〉 channel orientation, show a larger on-current variability, over a 120% increase, compared with the results from Drift-Diffusion simulations. In this study, three different metal grain sizes (10, 7 and 5 nm) have been analysed. We have observed that the underestimation of the variability when using Drift-Diffusion simulations is increasing with a reduction in the grain size.\",\"PeriodicalId\":101858,\"journal\":{\"name\":\"2014 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISPAD.2014.6931611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISPAD.2014.6931611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MC/DD study of metal grain induced current variability in a nanoscale InGaAs FinFET
The on- and off-current variability due to TiN metal grain workfunction fluctuations in a 10.4 nm gate length In0.53Ga0.47As FinFET is analysed using two in-house simulation tools based on the finite element method: a 3D Drift-Diffusion device simulator and a 3D ensemble Monte Carlo simulator, that include quantum-corrections through the density gradient approach. The Id-Vg characteristics have been compared in the sub-threshold region against ballistic NEGF simulations, showing an excellent agreement. Monte Carlo simulations, considering a 〈100〉 channel orientation, show a larger on-current variability, over a 120% increase, compared with the results from Drift-Diffusion simulations. In this study, three different metal grain sizes (10, 7 and 5 nm) have been analysed. We have observed that the underestimation of the variability when using Drift-Diffusion simulations is increasing with a reduction in the grain size.