The low-frequency noise (LF-noise) of deep-submicrometer MOSFETs is experimentally studied with special emphasis on yield relevant parameter scattering. A novel modeling approach is developed which includes detailed consideration of statistical effects. The model is based on device physics parameters which cause statistical variations in LF-noise behavior of individual devices. Discrete quantities are used and analytical results for the statistical parameters are derived. Analytical equations for average value and standard deviation of noise power are provided. The model is compatible with standard compact models used for circuit simulation.

Bias temperature instability (BTI) is a serious reliability concern for MOS transistors. This paper covers theoretical analysis, Monte Carlo simulation, and experimental investigation of the charge trapping component of BTI. An analytical model for both stress and recovery phases of BTI is presented. Furthermore, the model properly describes device behavior under periodic switching, also called AC-BTI or cyclostationary operation. The model is based on microscopic device physics parameters, which are shown to cause statistical variation in transistor BTI behavior. It is shown that a universal logarithmic law describes the time dependence of charge trapping in both stress and recovery phases, and that the time dependence may be separated from the temperature and bias point dependence. Analytical equations for the statistical parameters are provided. The model is compared with experimental data and Monte Carlo simulation results.

In this paper we study the short-time behavior of the Blume-Capel model at the tricritical point as well as along the second order critical line. Dynamic and static exponents are estimated by exploring scaling relations for the magnetization and its moments at an early stage of the dynamic evolution. Our estimates for the dynamic exponents, at the tricritical point, are $z=2.215\mathrm{}\left(2\right)\mathrm{}$ and $\theta =-0.53\left(2\right).$