A multi-timescale synaptic weight based on ferroelectric hafnium zirconium oxide

Autor: Mattia Halter, Laura Bégon-Lours, Marilyne Sousa, Youri Popoff, Ute Drechsler, Valeria Bragaglia, Bert Jan Offrein
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Communications Materials, Vol 4, Iss 1, Pp 1-8 (2023)
Druh dokumentu: article
ISSN: 2662-4443
DOI: 10.1038/s43246-023-00342-x
Popis: 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.
Databáze: Directory of Open Access Journals