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

Abstract

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.