IEEE Transactions on Device and Materials Reliability · 2013 · 56 citations · 29 references
EngineeringComputer EngineeringElectrical EngineeringMicroelectronicsSemiconductor DevicesVlsi DesignCmos Circuit DesignDevice ModelingDevice ReliabilityDevice SimulationIntegrated Circuit DesignSemiconductor ReliabilityBias Temperature InstabilityCmos Logic CircuitsCmos ReliabilityGate-level ModelingLogic GatesLong-term AgingMetal-oxide-semiconductor Field-effect Transistor ModelingSystem Reliability
In deeply scaled CMOS technology, time-dependent degradation mechanisms (TDDMs), such as Bias Temperature Instability (BTI), have threatened the transistor performance, hence the overall circuit/system reliability. Two well-known attempts to model BTI mechanism are the reaction-diffusion (R-D) model and the Atomistic trap-based model. This paper presents a thorough comparative analysis of the two models at the gate-level in order to explore when their predictions are the same and when not. The comparison is done by evaluating degradation trends in a set of CMOS logic gates (e.g., INV, NAND, NOR, etc.) while considering seven attributes: 1) gate type, 2) gate drive strength, 3) input frequency, 4) duty factor, 5) non-periodicity, 6) instant degradation versus long-term aging, and 7) simulation CPU time and memory usage. The simulation results show that two models are in consistency in terms of the gate degradation trends w.r.t. the first four attributes (gate type, input frequency, etc.). For the rest of the attributes, the workload-dependent solution of the Atomistic trap-based model is superior from the point of non-periodicity and instant degradation, while the R-D model gets advantageous in case of long-term aging, and simulation CPU time and memory usage due to its lite AC periodic and duty factor dependent solution.
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Origin of NBTI variability in deeply scaled pFETs
B. Kaczer, Tibor Grasser, Ph. Roussel et al. · 2010 · 309 citations