High-precision and linear weight updates by subnanosecond pulses in ferroelectric tunnel junction for neuro-inspired computing

Autor: Zhen Luo, Zijian Wang, Zeyu Guan, Chao Ma, Letian Zhao, Chuanchuan Liu, Haoyang Sun, He Wang, Yue Lin, Xi Jin, Yuewei Yin, Xiaoguang Li
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-022-28303-x
Popis: Brain-inspired computing demands high-performance synapses. Here, the authors report a subnanosecond ferroelectric tunnel junction with 256 conductance states, 109 endurance, and 5.3 fJ/bit energy consumption, satisfactory to build synaptic devices.
Databáze: Directory of Open Access Journals