A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide
Brain-inspired neuromorphic computing is a key technology for processing an ever-growing amount of data. Here, an artificial synapse with dual resistance modulation mechanisms is demonstrated, achieving a dynamic range of 60, an endurance exceeding 1010 cycles, and more than 10 years of retention.
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-02-01
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Series: | Communications Materials |
Online Access: | https://doi.org/10.1038/s43246-023-00342-x |