IEEE Transactions on Electron Devices · 2011 · 446 citations · 22 references
Device ModelingElectrical EngineeringSemiconductor DeviceEngineeringPhysicsNanoelectronicsReliable ModelsApplied PhysicsNonlinear Dopant KineticsDistinct Memristive ElementsPhase Change MemorySemiconductor MemoryCharge Carrier TransportMicroelectronicsCharge TransportNonlinear Kinetics
The need for reliable models that take into account the nonlinear kinetics of dopants is nowadays of paramount importance, particularly with the physical dimensions of electron devices shrinking to the deep nanoscale range and the development of emerging nanoionic systems such as the memristor. In this paper, we present a novel nonlinear dopant drift model that resolves the boundary issues existing in previously reported models that can be easily adjusted to match the dynamics of distinct memristive elements. With the aid of this model, we examine switching mechanisms, current-voltage characteristics, and the collective ion transport in two terminal memristive devices, providing new insights on memristive behavior.
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Dmitri B. Strukov, Gregory S. Snider, Duncan R. Stewart et al. · Nature · 2008 · 11.2K citations
Nanoscale Memristor Device as Synapse in Neuromorphic Systems
Sung Hyun Jo, Ting‐Chang Chang, Idongesit E. Ebong et al. · Nano Letters · 2010 · 4.1K citations
Memristive devices and systems
Leon O. Chua, Sung Mo Kang · Proceedings of the IEEE · 1976 · 2.5K citations