Two-terminal Resistive-switching Memories based on Liquid AgNO3 as Artificial Synapses
The brain presents impressive characteristics, like memory retention and learning capabilities at low energy consumption, making it the most efficient computational entity known. A promising candidate for the task of mimicking the brain is a new generation of devices showing resistive switching, a p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade do Porto
2022-05-01
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| Series: | U.Porto Journal of Engineering |
| Subjects: | |
| Online Access: | https://journalengineering.fe.up.pt/index.php/upjeng/article/view/1429 |