Purely self-rectifying memristor-based passive crossbar array for artificial neural network accelerators
Abstract Memristor-integrated passive crossbar arrays (CAs) could potentially accelerate neural network (NN) computations, but studies on these devices are limited to software-based simulations owing to their poor reliability. Herein, we propose a self-rectifying memristor-based 1 kb CA as a hardwar...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-01-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-023-44620-1 |