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Article
Open AccessStrategy to improve synaptic behavior of ion-actuated synaptic transistors—the use of ion blocking layer to improve state retention
Synaptic transistors (STs) with a gate/electrolyte/channel stack, where mobile ions are electrically driven across the solid electrolyte, have been considered as analog weight elements for neuromorphic computi...
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Article
Open AccessElectrochemical random-access memory: recent advances in materials, devices, and systems towards neuromorphic computing
Artificial neural networks (ANNs), inspired by the human brain's network of neurons and synapses, enable computing machines and systems to execute cognitive tasks, thus embodying artificial intelligence (AI). ...
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Article
Open AccessWOx channel engineering of Cu-ion-driven synaptic transistor array for low-power neuromorphic computing
The multilevel current states of synaptic devices in artificial neural networks enable next-generation computing to perform cognitive functions in an energy-efficient manner. Moreover, considering large-scale ...
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Article
Open AccessThree-dimensional vertical structural electrochemical random access memory for high-density integrated synapse device
Three-terminal (3T) structured electrochemical random access memory (ECRAM) has been proposed as a synaptic device based on improved synaptic characteristics. However, the proposed 3T ECRAM has a larger area r...