Publication | Closed Access
Nonstationary distributions and relaxation times in a stochastic model of memristor
155
Citations
84
References
2020
Year
Electrical EngineeringEngineeringNonstationary DistributionsMemristive DevicesComputational NeuroscienceApplied PhysicsComputer EngineeringRelaxation TimesStochastic ModelMemory DeviceStochastic AnalysisSemiconductor MemoryMemristive DeviceMicroelectronicsPhase Change MemoryMemristive System
Abstract We propose a stochastic model for a memristive system by generalizing known approaches and experimental results. We validate our theoretical model by experiments carried out on a memristive device based on multilayer structure. In the framework of the proposed model we obtain the exact analytic expressions for stationary and nonstationary solutions. We analyze the equilibrium and non-equilibrium steady-state distributions of the internal state variable of the memristive system and study the influence of fluctuations on the resistive switching, including the relaxation time to the steady-state. The relaxation time shows a nonmonotonic dependence, with a minimum, on the intensity of the fluctuations. This paves the way for using the intensity of fluctuations as a control parameter for switching dynamics in memristive devices.
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