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High-Speed Nanoscale Ferroelectric Tunnel Junction for Multilevel Memory and Neural Network Computing

Authors :
Zijian Wang
Zeyu Guan
Haoyang Sun
Zhen Luo
Haoyu Zhao
He Wang
Yuewei Yin
Xiaoguang Li
Source :
ACS applied materialsinterfaces. 14(21)
Publication Year :
2022

Abstract

Ferroelectric tunnel junction (FTJ) is one promising candidate for next-generation nonvolatile data storage and neural network computing systems. In this work, the high-performance 50 nm-diameter Au/Ti/PbZr

Subjects

Subjects :
General Materials Science

Details

ISSN :
19448252
Volume :
14
Issue :
21
Database :
OpenAIRE
Journal :
ACS applied materialsinterfaces
Accession number :
edsair.doi.dedup.....4534aedd21d5755104960d60d8eebf3d