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We report the impact of titanium (Ti) and TiOx interfacial layers on switching characteristics of MgO based Resistive Random Access Memory (ReRAM) devices. The devices with Ti/MgO and Ti/TiOx/MgO bi-layer structures demonstrated bipolar resistive switching characteristics with self-compliance behavior and low set/reset voltages. Much lower self-compliance current was observed for Ti/TiOx/MgO devices...
In this paper, we report our studies on integrated active pixel sensor (APS) array and memristor crossbar neural network to perform image learning and recognition in an unsupervised fashion. APS modules encode light intensity/gray value of grayscale images into APS sensing current feeding into N2×M crossbar array. The memristor is used as a synapse and can be trained through an adaption of spike timing...
In this paper, we report a simulation based study of large-scale image learning and recognition using neural network consisting of active pixel sensor (APS), LIF neurons, and memristive devices as synapses in crossbar array. Our studies indicate that images can be efficiently encoded into spiking-patterns using the proposed model which can be used to train the memristive devices based on spike-timing-dependent-plasticity...
This paper presents a simulation-based study to understand the impact of coupling capacitance on the read operation of nanoscale RRAM devices in 1D1R crossbar memory architectures. Our simulation results show that the coupling capacitances can form additional sneak paths which can lead to RRAM HRS read failure. Increase in the coupling capacitance increases the transient charging current when an ultra-fast...
Transition Metal Oxide (TMO) based resistive random access memory (ReRAM) devices have been a topic of extensive research in the recent years [1]. However, in spite of significant research progress in this area, there are several pending issues that need to be studied. Of these several issues, two of the major issues lie in reducing the electroforming (EF) voltage, and reset current in the current...
The Ant colony algorithm is an intelligent algorithm with its better robustness and parallelism, as well as the advantage combined easily with other algorithms. Each ant Agent does not need to have a comprehensive understanding to the every aspect of the system so the individual Agent is considered as the main object of study. In the paper, supermarket customer subdivision model was researched by...
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