Mote2-based low energy consumption artificial synapse for neuromorphic behavior and decimal arithmetic
Two-dimensional material-based memristors have shown attractive research prospects as brain-like devices for neuromorphic computing. Among them, transition metal dichalcogenides–based memristors have proved to be one of the most promising competitors. In this work, a two-dimensional memristor based...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/108904/ http://psasir.upm.edu.my/id/eprint/108904/1/MoTe2-based%20low%20energy.pdf |