IEEE Transactions on Electron Devices · 2011 · 457 citations · 22 references
EngineeringElectrical EngineeringMaterials ScienceElectronic MaterialsSemiconductor DevicesSemiconductor MaterialsCarrier TransportCurrent-voltage CharacteristicsDevice ModelingMemristive MaterialsNanoelectronicsSemiconductor PhysicsCurrent-voltage RelationsIon TransportMemristive MemoryPotential - Current Characteristics
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 · 11.5K citations
Engineering, Electrical Engineering, Electronic Materials +5
Memristor-The missing circuit element
Leon O. Chua · IEEE Transactions on Circuit Theory · 1971 · 10K 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
Life Sciences, Electrical Engineering, Materials Science +17
Memristive switching mechanism for metal/oxide/metal nanodevices
J. Joshua Yang, Matthew D. Pickett, Xuema Li et al. · Nature Nanotechnology · 2008 · 3K citations
Memristive devices and systems
Leon O. Chua, Sung Mo Kang · Proceedings of the IEEE · 1976 · 2.6K citations