Ultralow‐power in‐memory computing based on ferroelectric memcapacitor network

Ultralow‐power in‐memory computing based on ferroelectric memcapacitor network

Abstract Analog storage through synaptic weights using conductance in resistive neuromorphic systems and devices inevitably generates harmful heat dissipation. This thermal issue not only limits the energy efficiency but also hampers the very‐large‐scale and highly complicated hardware integration a...

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Bibliographic Details
Main Authors: Bobo Tian, Zhuozhuang Xie, Luqiu Chen, Shenglan Hao, Yifei Liu, Guangdi Feng, Xuefeng Liu, Hongbo Liu, Jing Yang, Yuanyuan Zhang, Wei Bai, Tie Lin, Hong Shen, Xiangjian Meng, Ni Zhong, Hui Peng, Fangyu Yue, Xiaodong Tang, Jianlu Wang, Qiuxiang Zhu, Yachin Ivry, Brahim Dkhil, Junhao Chu, Chungang Duan
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:Exploration
Subjects:
ferroelectric
in‐memory computing
memcapacitor
P(VDF‐TrFE)
ultralow power
Online Access:https://doi.org/10.1002/EXP.20220126

Internet

https://doi.org/10.1002/EXP.20220126

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