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...

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Bibliographic Details
Main Authors: Kanghyeok Jeon, Jin Joo Ryu, Seongil Im, Hyun Kyu Seo, Taeyong Eom, Hyunsu Ju, Min Kyu Yang, Doo Seok Jeong, Gun Hwan Kim
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-44620-1