DocumentCode
799890
Title
The Multivalley Effective Conduction Band-Edge Method for Monte Carlo Simulation of Nanoscale Structures
Author
Sampedro-Matarín, Carlos ; Gámiz, Francisco ; Godoy, Andrés ; Ruiz, Francisco J García
Author_Institution
Departamento de Electronica y Tecnologia de Computadores, Granada Univ.
Volume
53
Issue
11
fYear
2006
Firstpage
2703
Lastpage
2710
Abstract
The trend toward continuous integration of the nanometer scale and the rise of nonconventional device concepts such as multigate transistors present important challenges for the semiconductor community. Simulation tools have to be adapted to this new scenario where classical approaches are not sufficiently accurate, and quantum effects have to be taken into account. This paper proposes a method of including quantum corrections in Monte Carlo (MC) simulations without solving the Schroumldinger equation. The approach, based on the effective conduction band-edge (ECBE) method, considers the effects of an arbitrary effective mass tensor, describing valley characteristics and confinement directions while avoiding the use of effective mass as a fitting parameter. The performance of the multivalley ECBE method is tested using an ensemble MC simulator to study benchmark devices for next International Technology Roadmap for Semiconductors technological nodes, a 25-nm channel length bulk-MOSFET and a double-gate silicon-on-insulator MOSFET in both steady-state and transient situations
Keywords
MOSFET; Monte Carlo methods; nanoelectronics; semiconductor device models; silicon-on-insulator; 25 nm; MOSFET; Monte Carlo simulation; arbitrary effective mass tensor; confinement directions; effective conduction band-edge method; multigate transistors; nanoscale structures; quantum corrections; quantum effects; semiconductor device modeling; silicon-on-insulator technology; valley characteristics; Benchmark testing; Effective mass; Equations; MOSFETs; Monte Carlo methods; Nanoscale devices; Nanostructures; Semiconductor device testing; Silicon on insulator technology; Tensile stress; MOSFETs; Monte Carlo (MC) methods; quantum well; semiconductor device modeling; silicon-on-insulator (SOI) technology;
fLanguage
English
Journal_Title
Electron Devices, IEEE Transactions on
Publisher
ieee
ISSN
0018-9383
Type
jour
DOI
10.1109/TED.2006.882782
Filename
1715612
Link To Document