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

Suk Bae Bae, Seong-Joon Kim, Way Kuo, Paul H. Kvam

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

26 Citations (Scopus)

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. © 2007 IEEE.
Original languageEnglish
Pages (from-to)392-400
JournalIEEE Transactions on Reliability
Volume56
Issue number3
DOIs
Publication statusPublished - Sept 2007
Externally publishedYes

Research Keywords

  • EM algorithm
  • Logistic distribution
  • Maximum likelihood
  • Mixture distribution
  • Nanotechnology

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