IEEE Transactions on Electron Devices · 2006 · 79 citations · 26 references
EngineeringElectrical EngineeringMicroelectronicsSemiconductor DevicesVlsi DesignCmos Circuit DesignDevice CharacterizationDevice ModelingDevice ScalingIntegrated Circuit DesignNoise In Semiconductor DevicesCompact ModelingDevice VariabilityPolysiliconProcess Variation AnalysisRandom Dopant FluctuationRapid Thermal AnnealingScaling Effects In CmosThermal Annealing
The rapid scaling from 90‑ to 45‑nm nodes has made accurate, predictive compact models essential for capturing small‑scale physical effects and diverse sources of variation, including random dopant fluctuations, polysilicon linewidth variation, and layout‑dependent phenomena. This paper investigates the challenges and presents results of compact modeling at the 65‑nm node and beyond. The study reports the challenges encountered and the resulting compact modeling outcomes for the 65‑nm node and future technology nodes.
The scaling of semiconductor technologies from 90- to 45-nm nodes highlights the need for accurate and predictive compact models that address the regime where small-scale physical effects become dominant. These demanding requirements on compact models extend beyond the core model to a suite of design tools that include extraction tools and statistical methods to account for unpredictable variation (e.g., random dopant fluctuations and polysilicon linewidth variation) and predictable variation (e.g., transistor response differences that are layout dependent). Layout-dependent or local environment differences are driven by factors such as lithography and novel performance-enhancing process techniques such as dual-stress nitride liner films. Sources of variation such as rapid thermal annealing temperature, low-frequency noise, and modeling of back-end-of-line elements need to be considered. The modeling of intradie and interdie variations, updated for small geometries, should be properly positioned in the design flow. This paper presents the challenges and results of compact modeling at the 65-nm node and beyond.
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