The SRAM has a very constrained cell area and is consequently sensitive to the intrinsic parameter fluctuations ubiquitous in decananometer scale MOSFETs. Using a statistical circuit simulation methodology, which can fully collate intrinsic parameter fluctuation information into compact model sets, the impact of random device doping on 6-T SRAM static noise margins, and read and write characteristics are investigated in detail for well-scaled 35 nm physical gate length devices. We conclude that intrinsic parameter fluctuations will become a major limitation to further conventional MOSFET SRAM scaling
As devices are scaled to gate lengths of sub 100 nm the effects of intrinsic parameter fluctuations ...
As transistor dimensions are scaled down in accordance with Moore's Law to provide for improved perf...
Charge trapping at the channel interface is a fundamental issue that adversely affects the reliabili...
The CMOS scaling increases the impact of intrinsic parameter fluctuation on the yield and functional...
An ‘atomistic’ circuit simulation methodology is developed to investigate intrinsic parameter fluctu...
As CMOS device dimensions are being aggressively scaled, the device characteristic must be assessed ...
It has been shown that sub 100nm SRAM is particularly sensitive to stochastic device variability. In...
Several emerging devices have been proposed to continue the CMOS scaling. To assess scalability, dev...
Abstract This paper investigates electrical effects due to reliability phenomena associated with the...
Robust SRAM design is one of the key challenges of process technology scaling. The steady pace of pr...
This paper investigates the impact of random dopant fluctuation effect on surrounding gate MOSFET, f...
This paper investigates the impact of random dopant fluctuation effect on surrounding gate MOSFET, f...
This paper investigates the impact of random dopant fluctuation on surrounding gate MOSFET, from ato...
Intrinsic parameter fluctuations steadily increases with CMOS technology scaling. Around the 90nm te...
MasterStatic noise margin (SNM) is an evaluation metric of SRAM cell stability. SNM is defined as ma...
As devices are scaled to gate lengths of sub 100 nm the effects of intrinsic parameter fluctuations ...
As transistor dimensions are scaled down in accordance with Moore's Law to provide for improved perf...
Charge trapping at the channel interface is a fundamental issue that adversely affects the reliabili...
The CMOS scaling increases the impact of intrinsic parameter fluctuation on the yield and functional...
An ‘atomistic’ circuit simulation methodology is developed to investigate intrinsic parameter fluctu...
As CMOS device dimensions are being aggressively scaled, the device characteristic must be assessed ...
It has been shown that sub 100nm SRAM is particularly sensitive to stochastic device variability. In...
Several emerging devices have been proposed to continue the CMOS scaling. To assess scalability, dev...
Abstract This paper investigates electrical effects due to reliability phenomena associated with the...
Robust SRAM design is one of the key challenges of process technology scaling. The steady pace of pr...
This paper investigates the impact of random dopant fluctuation effect on surrounding gate MOSFET, f...
This paper investigates the impact of random dopant fluctuation effect on surrounding gate MOSFET, f...
This paper investigates the impact of random dopant fluctuation on surrounding gate MOSFET, from ato...
Intrinsic parameter fluctuations steadily increases with CMOS technology scaling. Around the 90nm te...
MasterStatic noise margin (SNM) is an evaluation metric of SRAM cell stability. SNM is defined as ma...
As devices are scaled to gate lengths of sub 100 nm the effects of intrinsic parameter fluctuations ...
As transistor dimensions are scaled down in accordance with Moore's Law to provide for improved perf...
Charge trapping at the channel interface is a fundamental issue that adversely affects the reliabili...