Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Statistical models for hot electron degradation in nano-scaled MOSFET devices

Authors
Bae, Suk JooKim, Seong-JoonKuo, WayKvam, Paul H.
Issue Date
Sep-2007
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
EM algorithm; logistic distribution; maximum likelihood; mixture distribution; nanotechnology
Citation
IEEE TRANSACTIONS ON RELIABILITY, v.56, no.3, pp.392 - 400
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON RELIABILITY
Volume
56
Number
3
Start Page
392
End Page
400
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179648
DOI
10.1109/TR.2007.903232
ISSN
0018-9529
Abstract
In a MOS structure, the generation of hot carrier interface states is a critical feature of the item's reliability. On the nano-scale, there are problems with degradation in transconductance, shift in threshold voltage, and decrease in drain current capability. Quantum mechanics has been used to relate this decrease to degradation, and device failure. Although the lifetime, and degradation of a device are typically used to characterize its reliability, in this paper we model the distribution of hot-electron activation energies, which has appeal because it exhibits a two-point discrete mixture of logistic distributions. The logistic mixture presents computational problems that are addressed in simulation.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 산업공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Bae, Suk Joo photo

Bae, Suk Joo
COLLEGE OF ENGINEERING (DEPARTMENT OF INDUSTRIAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE