DocumentCode
1019249
Title
A hybrid device simulator that combines Monte Carlo and drift-diffusion analysis
Author
Kosina, Hans ; Selberherr, Siegfried
Author_Institution
Inst. fur Microelectron., Tech. Univ. Wien, Austria
Volume
13
Issue
2
fYear
1994
fDate
2/1/1994 12:00:00 AM
Firstpage
201
Lastpage
210
Abstract
A hybrid simulator suitable for modeling small semiconductor devices has been developed in which Monte Carlo and drift-diffusion models are combined. In critical device regions, the position-dependent coefficients of an extended drift-diffusion equation are extracted from a Monte Carlo simulation. Criteria for identifying these regions are described. Additional features which make the code more efficient are presented. First, a free-flight time calculation method using a new self-scattering algorithm is described. It allows for an efficient reduction of self-scattering events. Second, a unique Monte Carlo-Poisson coupling scheme has been developed which converges faster than all presently known schemes. It exploits the so-called Monte Carlo-drift diffusion coupling technique, which also forms the basis of the hybrid method. The simulator has been used to model submicron MOSFET´s with gate lengths down to 0.15 μm. In addition to the non-local effects occurring in these devices, the performance of the hybrid simulation method is analyzed
Keywords
Monte Carlo methods; digital simulation; electronic engineering computing; insulated gate field effect transistors; semiconductor device models; 0.15 mum; 2D device simulator; MINIMOS program; Monte Carlo simulation; Monte Carlo-Poisson coupling scheme; Monte Carlo-drift diffusion coupling technique; critical device regions; drift-diffusion models; free-flight time calculation; gate length; hybrid device simulator; nonlocal effects; position-dependent coefficients; self-scattering algorithm; small semiconductor device modelling; submicron MOSFET; surface mobility; Analytical models; Boltzmann equation; Computational modeling; Conductors; Data mining; Diodes; Distribution functions; Monte Carlo methods; Performance analysis; Stochastic processes;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/43.259943
Filename
259943
Link To Document