材料科学
铁电性
神经形态工程学
可扩展性
非易失性存储器
晶体管
光电子学
场效应晶体管
纳米技术
工程物理
计算机科学
电气工程
工程类
人工智能
电压
数据库
人工神经网络
电介质
作者
Ju Yong Park,Duk‐Hyun Choe,Dong Hyun Lee,Geun Taek Yu,Kun Yang,Se Hyun Kim,Geun Hyeong Park,Seung‐Geol Nam,Hyun Jae Lee,Sanghyun Jo,Bong Jin Kuh,Daewon Ha,Yongsung Kim,Jinseong Heo,Min Hyuk Park
标识
DOI:10.1002/adma.202204904
摘要
Abstract Over the last few decades, the research on ferroelectric memories has been limited due to their dimensional scalability and incompatibility with complementary metal‐oxide‐semiconductor (CMOS) technology. The discovery of ferroelectricity in fluorite‐structured oxides revived interest in the research on ferroelectric memories, by inducing nanoscale nonvolatility in state‐of‐the‐art gate insulators by minute doping and thermal treatment. The potential of this approach has been demonstrated by the fabrication of sub‐30 nm electronic devices. Nonetheless, to realize practical applications, various technical limitations, such as insufficient reliability including endurance, retention, and imprint, as well as large device‐to‐device‐variation, require urgent solutions. Furthermore, such limitations should be considered based on targeting devices as well as applications. Various types of ferroelectric memories including ferroelectric random‐access‐memory, ferroelectric field‐effect‐transistor, and ferroelectric tunnel junction should be considered for classical nonvolatile memories as well as emerging neuromorphic computing and processing‐in‐memory. Therefore, from the viewpoint of materials science, this review covers the recent research focusing on ferroelectric memories from the history of conventional approaches to future prospects.
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