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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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
2020
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Online Access: | https://hdl.handle.net/10356/141472 |
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Institution: | Nanyang Technological University |
Language: | English |
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