Statistical variability is a critical challenge to scaling and integration, affecting performance, leakage power, and reliability of devices, circuits, and systems [1]. The UTB-FD-SOI transistor-architecture dramatically reduces the statistical variability due to random dopant fluctuations (RDF), but other sources of variability remain pertinent, e.g. line edge roughness (LER), metal gate granularity (MGG) leading to work-function fluctuations, and interface trapped charge (ITC) [2], [3]. The different physical nature of these phenomena affects the standard deviation and distribution of threshold voltage (V TH) in different ways, and leads to a de-correlation with the on-current (I ON) of the transistor. These aspects have been extensively ...
We investigate the statistical variability of the threshold voltage and its sensitivity to critical ...
In this work, we present a combined analysis on the statistical variability of threshold voltage, on...
In this paper, using computationally intensive 3-D simulations in a grid computing environment, we p...
Statistical variability is a critical challenge to scaling and integration, affecting performance, l...
Statistical variability (SV) critically affects the scaling, performance, leakage power, and reliabi...
A comprehensive study of statistical variability (SV) in scaled, fully-depleted (FD) SOI n-channel M...
A comprehensive study of statistical variability (SV) in scaled, fully-depleted (FD) SOI n-channel M...
In this article, the impact of random fluctuation sources, such as metal gate granularity (MGG), lin...
Lightly doped or even intrinsic channel can be used in SOTB MOSFETs and therefore very Low RDF (rand...
The 'nominally' un-doped or lightly-doped channels are actually doped considerably due to ...
Statistical variability in ultra-scaled CMOS devices is a major challenge faced by the semiconductor...
tatistical variability and reliability is a critical issue in conventional bulk planar MOSFETs of th...
ABSTRACT Device level variability in silicon double gate lateral Tunnel Field Effect Transistors (TF...
tatistical variability and reliability is a critical issue in conventional bulk planar MOSFETs of th...
We investigate the statistical variability of the threshold voltage and its sensitivity to critical ...
We investigate the statistical variability of the threshold voltage and its sensitivity to critical ...
In this work, we present a combined analysis on the statistical variability of threshold voltage, on...
In this paper, using computationally intensive 3-D simulations in a grid computing environment, we p...
Statistical variability is a critical challenge to scaling and integration, affecting performance, l...
Statistical variability (SV) critically affects the scaling, performance, leakage power, and reliabi...
A comprehensive study of statistical variability (SV) in scaled, fully-depleted (FD) SOI n-channel M...
A comprehensive study of statistical variability (SV) in scaled, fully-depleted (FD) SOI n-channel M...
In this article, the impact of random fluctuation sources, such as metal gate granularity (MGG), lin...
Lightly doped or even intrinsic channel can be used in SOTB MOSFETs and therefore very Low RDF (rand...
The 'nominally' un-doped or lightly-doped channels are actually doped considerably due to ...
Statistical variability in ultra-scaled CMOS devices is a major challenge faced by the semiconductor...
tatistical variability and reliability is a critical issue in conventional bulk planar MOSFETs of th...
ABSTRACT Device level variability in silicon double gate lateral Tunnel Field Effect Transistors (TF...
tatistical variability and reliability is a critical issue in conventional bulk planar MOSFETs of th...
We investigate the statistical variability of the threshold voltage and its sensitivity to critical ...
We investigate the statistical variability of the threshold voltage and its sensitivity to critical ...
In this work, we present a combined analysis on the statistical variability of threshold voltage, on...
In this paper, using computationally intensive 3-D simulations in a grid computing environment, we p...