IEEE Transactions on Electron Devices · 2015 · 26 citations · 23 references
EngineeringComputer EngineeringElectrical EngineeringComputer-aided DesignDesign OptimizationMicroelectronicsDesign SimulationDevice CharacterizationDevice ModelingDevice SimulationDigital Integrated Circuit DesignIntegrated Circuit DesignCircuit SimulationComputer-aided Design For Integrated CircuitsDevice VariabilityMetal-oxide-semiconductor Field-effect Transistor ModelingModel ExtractionProcess Variation AnalysisStatistical SimulationVariability Analysis
In this paper we illustrate how the predictive Technology Computer Aided Design (TCAD) process device simulation can be used to evaluate process, statistical, and time-dependent variability at the early stage of the development of new technology. This is critically important for the delivery of accurate early Process Design Kits, including process variability, statistical variability, time-dependent variability (degradation) and their interactions and correlations. This is also critical to the TCAD-based Design-Technology Co-Optimisation (DTCO). To accomplish this task, the fast, large area Coventor virtual fabrication platform SEMulator3D was integrated in the GoldStandradSimulations TCAD-based DTCO tool chain. Published data for Intel 22-nm FinFET technology are used to illustrate and validate the results of the TCAD process and device simulation, the compact model extraction, and the statistical circuit simulation.
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