A general statistical model to describe the generation of statistically independent defects in gate dielectrics is presented. In this first paper, the general model, suitable for different types of defects, is developed to describe the stress-induced oxide traps and the statistical properties of the trap-assisted tunneling current (TAT). With our model, it is possible to study the stress-induced leakage current statistics on large Flash memory arrays, to extract information about the number of generated defects, and to reconstruct the probability density distribution (PDD) of the gate current due to the single trap. We validated the statistical model by means of a Monte Carlo simulator developed to describe the oxide trap generation and the...
In this paper, we present a physically-based Monte-Carlo (MC) model reproducing the leakage current ...
In this paper, we present a physically-based Monte-Carlo (MC) model reproducing the leakage current ...
International audienceIn this paper, we revisit the classic single layer defect centric model (DCM),...
A general statistical model to describe the generation of statistically independent defects in gate ...
In this paper we applied the statistical model for independent defects described in Part I, to exper...
In this paper, we analyze the experimental SILC statistical data at low stress reported in [5]. To ...
In this paper, we develop a detailed physical model to interpret the dependence of the stress induce...
The purpose of this paper is to illustrate a physically-based model allowing the statistical simulat...
One of the major scalability limitations of flash memories is anomalous SILC, which strongly endange...
In this paper, through the use of a recently proposed statistical model of stress-induced leakage cu...
We present here a statistical Monte Carlo (MC) simulator modeling leakage currents across SiO2/high-...
A new physics-based model of leakage current suitable for MOS and Flash memory gate oxide is present...
We investigate the properties of traps in the SiO2 by means of a statistical analysis of random tele...
We present here a statistical Monte Carlo (MC) simulator modeling leakage currents across SiO2/high-...
A new statistical model of stress-induced leakage current (SILC) is implemented and used to predict ...
In this paper, we present a physically-based Monte-Carlo (MC) model reproducing the leakage current ...
In this paper, we present a physically-based Monte-Carlo (MC) model reproducing the leakage current ...
International audienceIn this paper, we revisit the classic single layer defect centric model (DCM),...
A general statistical model to describe the generation of statistically independent defects in gate ...
In this paper we applied the statistical model for independent defects described in Part I, to exper...
In this paper, we analyze the experimental SILC statistical data at low stress reported in [5]. To ...
In this paper, we develop a detailed physical model to interpret the dependence of the stress induce...
The purpose of this paper is to illustrate a physically-based model allowing the statistical simulat...
One of the major scalability limitations of flash memories is anomalous SILC, which strongly endange...
In this paper, through the use of a recently proposed statistical model of stress-induced leakage cu...
We present here a statistical Monte Carlo (MC) simulator modeling leakage currents across SiO2/high-...
A new physics-based model of leakage current suitable for MOS and Flash memory gate oxide is present...
We investigate the properties of traps in the SiO2 by means of a statistical analysis of random tele...
We present here a statistical Monte Carlo (MC) simulator modeling leakage currents across SiO2/high-...
A new statistical model of stress-induced leakage current (SILC) is implemented and used to predict ...
In this paper, we present a physically-based Monte-Carlo (MC) model reproducing the leakage current ...
In this paper, we present a physically-based Monte-Carlo (MC) model reproducing the leakage current ...
International audienceIn this paper, we revisit the classic single layer defect centric model (DCM),...