A Compact Fully Ferroelectric-FETs Reservoir Computing Network With Sub-100 ns Operating Speed-Reference-Cited by-同舟云学术

A Compact Fully Ferroelectric-FETs Reservoir Computing Network With Sub-100 ns Operating Speed

Published:2022-09 Issue:9 Volume:43 Page:1555-1558
ISSN:0741-3106
Container-title:IEEE Electron Device Letters
language:
Short-container-title:IEEE Electron Device Lett.

Author:

Tang Mingfeng¹^ORCID,Zhan Xuepeng¹^ORCID,Wu Shuhao¹,Bai Maoying¹,Feng Yang¹,Zhao Guoqing¹,Wu Jixuan¹^ORCID,Chai Junshuai²^ORCID,Xu Hao²^ORCID,Wang Xiaolei¹^ORCID,Chen Jiezhi¹^ORCID

Affiliation:

1. School of Information Science and Engineering (ISE), Shandong University, Qingdao, China

2. Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Young Scholars Program of Shandong University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Link

http://xplorestaging.ieee.org/ielx7/55/9866921/09815296.pdf?arnumber=9815296

Reference19 articles.

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4. (Invited) HfZrO-Based Ferroelectric Devices for Lower Power AI and Memory Applications

5. Nonvolatile Memory Materials for Neuromorphic Intelligent Machines

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