Publication | Closed Access
Modeling of OxRAM variability from low to high resistance state using a stochastic trap assisted tunneling-based resistor network
16
Citations
13
References
2015
Year
Unknown Venue
EngineeringHigh Resistance StateResistorNanoelectronicsOxram VariabilitySpecific Spatial DistributionTunneling-based Resistor NetworkDevice ModelingElectrical EngineeringBias Temperature InstabilityOxram DevicesComputer EngineeringMicroelectronicsSpintronicsSpecific ResistanceApplied PhysicsCondensed Matter PhysicsResistance NetworkSemiconductor MemoryCircuit Simulation
In this work, a model is proposed to explain the variability of OxRAM devices, both in their high and low resistive states. This model is based on the calculation of a 3D resistance network, using trap assisted tunneling current. The stochastic nature of the resistance is captured by random placement of traps within a specific spatial distribution.
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