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

被引:21
作者
Bae, Suk Joo [1 ]
Kim, Seong-Joon
Kuo, Way
Kvam, Paul H.
机构
[1] Hanyang Univ, Dept Ind Engn, Seoul 133791, South Korea
[2] Univ Tennessee, Dept Elect & Comp Engn, Knoxville, TN 37996 USA
[3] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA
关键词
EM algorithm; logistic distribution; maximum likelihood; mixture distribution; nanotechnology;
D O I
10.1109/TR.2007.903232
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:392 / 400
页数:9
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