Inducing alternating nanoscale rectification in a dielectric material for bidirectional-trigger artificial synapses

Nanoionic device-based artificial neural networks that consume little power and hold a potential for enormous densities still fall behind the capabilities of software algorithms running on traditional von Neumann machines. In addition, despite many publications showing multilevel parametric capabili...

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Bibliographic Details
Main Authors: Berco, Dan, Ang, Diing Shenp
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/141472
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Institution: Nanyang Technological University
Language: English
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