The kinetics of trap generation during Negative-bias Temperature Instability (NBTI) stress in pMOSFETs, as governed by the double interface H-H2 Reaction-diffusion (RD) model, is incorporated for the first time in a commercial Technology Computer-aided Design (TCAD) software and used for simulating degradation in various device architectures. The calibrated TCAD framework is shown to successfully explain the measured impact of interface trap generation (ΔNIT) in bulk silicon FinFETs for wide range of stress bias and temperature. The impact of device design on NBTI degradation is explored by comparing the simulated trap generation kinetics in bulk FinFET, silicon on insulator FinFET and gate all around nanowire FET devices having differ...
A common framework for interface-trap (NIT) generation involving broken ≡Si-H and ≡Si-O ...
A physical modeling framework is demonstrated for Negative Bias Temperature Instability (NBTI). It c...
This paper reviews the experimental and modeling efforts to understand the mechanism of Negative Bia...
The kinetics of trap generation during negativebias temperature instability (NBTI) stress in pMOSFET...
A 3-D TCAD framework is proposed for simulating Negative Bias Temperature Instability (NBTI) in Sili...
A physics-based TCAD framework is used to estimate the interface trap generation (ΔNIT) during Negat...
[[abstract]]In this thesis, reliability assessment for low voltage CMOS device had been studied. New...
Negative bias temperature instability (NBTI) has become the dominant reliability concern for nanosca...
A complete separation flow for different types of traps, including the separation of energy levels (...
Different physics-based Negative Bias Temperature Instability (NBTI) models as proposed in the liter...
Abstract—As planar MOSFETs is approaching its physical scaling limits, FinFET becomes one of the mos...
Negative Bias Temperature Instability (NBTI) has been a critical reliability issue for today’s sub-m...
In this study, we developed a unified reaction-diffusion (R-D) model for the negative bias temperatu...
A common framework for interface-trap (NIT) generation involving broken ≡Si-H and ≡Si-O bonds is dev...
Conventional H/H2 and poly H/H2 Reaction-Diffusion (RD) models are compared and the poly version is ...
A common framework for interface-trap (NIT) generation involving broken ≡Si-H and ≡Si-O ...
A physical modeling framework is demonstrated for Negative Bias Temperature Instability (NBTI). It c...
This paper reviews the experimental and modeling efforts to understand the mechanism of Negative Bia...
The kinetics of trap generation during negativebias temperature instability (NBTI) stress in pMOSFET...
A 3-D TCAD framework is proposed for simulating Negative Bias Temperature Instability (NBTI) in Sili...
A physics-based TCAD framework is used to estimate the interface trap generation (ΔNIT) during Negat...
[[abstract]]In this thesis, reliability assessment for low voltage CMOS device had been studied. New...
Negative bias temperature instability (NBTI) has become the dominant reliability concern for nanosca...
A complete separation flow for different types of traps, including the separation of energy levels (...
Different physics-based Negative Bias Temperature Instability (NBTI) models as proposed in the liter...
Abstract—As planar MOSFETs is approaching its physical scaling limits, FinFET becomes one of the mos...
Negative Bias Temperature Instability (NBTI) has been a critical reliability issue for today’s sub-m...
In this study, we developed a unified reaction-diffusion (R-D) model for the negative bias temperatu...
A common framework for interface-trap (NIT) generation involving broken ≡Si-H and ≡Si-O bonds is dev...
Conventional H/H2 and poly H/H2 Reaction-Diffusion (RD) models are compared and the poly version is ...
A common framework for interface-trap (NIT) generation involving broken ≡Si-H and ≡Si-O ...
A physical modeling framework is demonstrated for Negative Bias Temperature Instability (NBTI). It c...
This paper reviews the experimental and modeling efforts to understand the mechanism of Negative Bia...