Intensive harmonized synapses with amorphous Cu2O-based memristors using ultrafine Cu nanoparticle sublayers formed via atomically controlled electrochemical pulse deposition
Abstract:Resistive random-access memory (RRAM) has significant advantages for neuromorphic computing but has a fatal problem of uncontrollability and abrupt resistive switching behaviors degrading its synaptic performance. In this paper, we...
Memristors have emerged as promising elements for brain-inspired computing applications, yet the understanding of their switching mechanisms, particularly in valence change memristors, remains a topic of ongoing debate. We report...
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