An ‘atomistic’ circuit simulation methodology is developed to investigate intrinsic parameter fluctuations introduced by discreteness of charge and matter in decananometer scale MOSFET circuits. Based on the ‘real’ doping profile, the impact of random device doping on 6-T SRAM static noise margins are discussed in detail for 35 nm physical gate length devices. We conclude that SRAM may not gain all the benefits of future bulk CMOS scaling, and new device architectures are needed to scale SRAM down to future technology node
This thesis describes a comprehensive, simulation based scaling study – including device design, per...
As transistor dimensions are scaled down in accordance with Moore's Law to provide for improved perf...
The dynamic variation in memory devices such as the Static Random Access Memory can give errors in r...
The SRAM has a very constrained cell area and is consequently sensitive to the intrinsic parameter f...
The CMOS scaling increases the impact of intrinsic parameter fluctuation on the yield and functional...
This paper investigates the impact of random dopant fluctuation on surrounding gate MOSFET, from ato...
This paper investigates the impact of random dopant fluctuation effect on surrounding gate MOSFET, f...
It has been shown that sub 100nm SRAM is particularly sensitive to stochastic device variability. In...
This paper investigates the impact of random dopant fluctuation effect on surrounding gate MOSFET, f...
Several emerging devices have been proposed to continue the CMOS scaling. To assess scalability, dev...
Intrinsic parameter fluctuations introduced by discreteness of charge and matter will play an increa...
In today's decananometer (90 nm, 65 nm, ...), CMOS technologies variations of device parameters...
Statistical variability associated with discreteness of charge and granularity of matter is one of l...
Robust SRAM design is one of the key challenges of process technology scaling. The steady pace of pr...
Intrinsic parameter fluctuations steadily increases with CMOS technology scaling. Around the 90nm te...
This thesis describes a comprehensive, simulation based scaling study – including device design, per...
As transistor dimensions are scaled down in accordance with Moore's Law to provide for improved perf...
The dynamic variation in memory devices such as the Static Random Access Memory can give errors in r...
The SRAM has a very constrained cell area and is consequently sensitive to the intrinsic parameter f...
The CMOS scaling increases the impact of intrinsic parameter fluctuation on the yield and functional...
This paper investigates the impact of random dopant fluctuation on surrounding gate MOSFET, from ato...
This paper investigates the impact of random dopant fluctuation effect on surrounding gate MOSFET, f...
It has been shown that sub 100nm SRAM is particularly sensitive to stochastic device variability. In...
This paper investigates the impact of random dopant fluctuation effect on surrounding gate MOSFET, f...
Several emerging devices have been proposed to continue the CMOS scaling. To assess scalability, dev...
Intrinsic parameter fluctuations introduced by discreteness of charge and matter will play an increa...
In today's decananometer (90 nm, 65 nm, ...), CMOS technologies variations of device parameters...
Statistical variability associated with discreteness of charge and granularity of matter is one of l...
Robust SRAM design is one of the key challenges of process technology scaling. The steady pace of pr...
Intrinsic parameter fluctuations steadily increases with CMOS technology scaling. Around the 90nm te...
This thesis describes a comprehensive, simulation based scaling study – including device design, per...
As transistor dimensions are scaled down in accordance with Moore's Law to provide for improved perf...
The dynamic variation in memory devices such as the Static Random Access Memory can give errors in r...