A simple device-level characterization approach to quantitatively evaluate the impacts of different random variation sources in FinFETs is proposed. The impacts of random dopant fluctuation are negligible for FinFETs with lightly doped channel, leaving metal gate granularity and line-edge roughness as the two major random variation sources. The variations of Vth induced by these two major categories are theoretically decomposed based on the distinction in physical mechanisms and their influences on different electrical characteristics. The effectiveness of the proposed method is confirmed through both TCAD simulations and experimental results. This letter can provide helpful guidelines for variation-aware technology development
In this paper we show that innovative physics-based simulations can be used for a comprehensive anal...
This paper presents a comprehensive simulation study of the interactions between long-range process ...
This paper presents the physics-based variability analysis of multi-fin double-gate (DG) MOSFETs, re...
A simple device-level characterization approach to quantitatively evaluate the impacts of different ...
A simple device-level characterization method to decompose the amplitudes of different random variat...
Four sources of variability, metal grain granularity (MGG), line-edge roughness (LER), gate-edge rou...
A nearly insatiable appetite for the latest electronic device enables the electronic technology sect...
Predictive compact models for two key variability sources in FinFET technology, the gate edge roughn...
Predictive compact models for two key variability sources in FinFET technology, the gate edge roughn...
We report the numerical simulation study on the characteristic variability of 10-nm SOI Multi Fin n-...
The fin-edge roughness (FER) and the TiN metal grain work function (MGW)-induced variability affecti...
Intra-die fluctuations in the nanoscale CMOS technology emerge inherently to geometrical variations ...
Three cross sections (rectangular, bullet shaped, and triangular), resulting from the fabrication pr...
none4Short-range process variations such as line-edge roughness (LER) and random dopant fluctuations...
FinFETs may start to replace planar MOSFETs for specific applications at the 32nm node and beyond du...
In this paper we show that innovative physics-based simulations can be used for a comprehensive anal...
This paper presents a comprehensive simulation study of the interactions between long-range process ...
This paper presents the physics-based variability analysis of multi-fin double-gate (DG) MOSFETs, re...
A simple device-level characterization approach to quantitatively evaluate the impacts of different ...
A simple device-level characterization method to decompose the amplitudes of different random variat...
Four sources of variability, metal grain granularity (MGG), line-edge roughness (LER), gate-edge rou...
A nearly insatiable appetite for the latest electronic device enables the electronic technology sect...
Predictive compact models for two key variability sources in FinFET technology, the gate edge roughn...
Predictive compact models for two key variability sources in FinFET technology, the gate edge roughn...
We report the numerical simulation study on the characteristic variability of 10-nm SOI Multi Fin n-...
The fin-edge roughness (FER) and the TiN metal grain work function (MGW)-induced variability affecti...
Intra-die fluctuations in the nanoscale CMOS technology emerge inherently to geometrical variations ...
Three cross sections (rectangular, bullet shaped, and triangular), resulting from the fabrication pr...
none4Short-range process variations such as line-edge roughness (LER) and random dopant fluctuations...
FinFETs may start to replace planar MOSFETs for specific applications at the 32nm node and beyond du...
In this paper we show that innovative physics-based simulations can be used for a comprehensive anal...
This paper presents a comprehensive simulation study of the interactions between long-range process ...
This paper presents the physics-based variability analysis of multi-fin double-gate (DG) MOSFETs, re...