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.

Bibliographic Details
Main Authors: Mattia Halter, Laura Bégon-Lours, Marilyne Sousa, Youri Popoff, Ute Drechsler, Valeria Bragaglia, Bert Jan Offrein
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Communications Materials
Online Access:https://doi.org/10.1038/s43246-023-00342-x