DocumentCode :
619480
Title :
Predicting future technology performance
Author :
Asenov, Asen ; Alexander, C. ; Riddet, C. ; Towie, Ewan
Author_Institution :
Gold Stand. Simulations, Glasgow, UK
fYear :
2013
fDate :
May 29 2013-June 7 2013
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we highlight the important role of full-scale 3D Ensemble Monte Carlo (EMC) transport simulations in the performance analysis of contemporary and future decananometer MOSFETs. Considering both electron and hole transport in alternative device structures and materials we demonstrate that conventional drift diffusion (DD) simulations using standard mobility models fail to capture the non-equilibrium transport effects present in these devices, limiting their effectiveness in terms of performing predictive simulation of Si based FinFETs. We clearly demonstrate the capabilities and the power of EMC in evaluating the scaling potential and performance of FinFETs and quantum well transistors employing high mobility materials and the impact that additional scattering sources has on their performance.
Keywords :
MOSFET; Monte Carlo methods; elemental semiconductors; quantum well devices; semiconductor device models; silicon; DD simulations; FinFET; Si; alternative device materials; alternative device structures; decananometer MOSFET; drift diffusion simulations; full-scale 3D EMC transport simulations; full-scale 3D ensemble Monte Carlo transport simulations; high mobility materials; nonequilibrium transport effects; quantum well transistors; scattering sources; standard mobility models; Electromagnetic compatibility; FinFETs; Logic gates; Predictive models; Scattering; Silicon; Drift Diffusion; FinFET; Germanium; InGaAs; MOSFET; Monte Carlo; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference (DAC), 2013 50th ACM/EDAC/IEEE
Conference_Location :
Austin, TX
ISSN :
0738-100X
Type :
conf
Filename :
6560625
Link To Document :
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