神经形态工程学
冯·诺依曼建筑
记忆电阻器
铁电性
二进制数
计算机科学
材料科学
非易失性存储器
非常规计算
纳米技术
电子工程
光电子学
计算机体系结构
分布式计算
人工智能
人工神经网络
工程类
数学
算术
电介质
操作系统
作者
Min S. Park,Daewoong Kwon,Uwe Schroeder,Thomas Mikolajick
出处
期刊:Mrs Bulletin
[Springer Nature]
日期:2021-11-01
卷期号:46 (11): 1071-1079
被引量:7
标识
DOI:10.1557/s43577-021-00210-4
摘要
With the exponential increase in the quantity of information to be stored and processed, an important issue that must be urgently resolved for the advancement of modern society is to decrease the power consumed by semiconductor devices with high operation speeds. Logic-in-memory (LiM) and neuromorphic devices were proposed as promising solutions to improve the operation speed and energy efficiency by merging logic and memory devices that are classically separated in von Neumann computing systems. Numerous emerging memories were proposed for the LiM and neuromorphic devices of which ferroelectric memories were considered to be one of the most promising candidates since the discovery of unexpected ferroelectricity in complementary metal–oxide–semiconductor compatible binary oxides such as doped HfO2. Therefore, a review of binary ferroelectric oxides, from materials to devices, for logic-memory hybrid systems is presented herein.Graphic abstract
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