Random Telegraph Noise (RTN) has been shown to surpass random dopant fluctuations as a cause for decananometer device variability, through the measurement of a large number of ultra-scaled devices . The most worrisome aspect of RTN is the tail of the amplitude distribution the limiting cases that are rare but nevertheless wreak havoc on circuit yield and reliability. Since one cannot realistically measure enough devices to imitate a large circuit, a physics-based quantitative model is urgently needed to replace the brute force approach. Recently we introduced a physical model for RTN [2-3] but it contains a serious error. In this paper, we developed and experimentally verified a new model that provides a physical understanding of RTN amplitude. By providing a quantitative link to device parameters, it points the way to control RTN in decananometer devices.
Conference Dates: June 10-12, 2012
Conference Location: Honolulu, HI
Conference Title: Silicon Nanoelectronics Workshop
Pub Type: Conferences
Random telegraph noise, flicker noise, 1/f noise, MOSFET