非易失性存储器
材料科学
铁电性
纳米技术
计算机科学
光电子学
电介质
作者
Minghao Shao,Ruiting Zhao,Houfang Liu,Wen-Jia Xu,Yaxing Guo,Daming Huang,Yuzhe Yang,Xin-Ru Li,Wancheng Shao,Pn Shen,Junwei Liu,Wang Kuan-mao,Jingxia Zheng,Zhaoyi Yan,Jian-Lan Yan,Tian Lu,Yi Yang,Tian‐Ling Ren
出处
期刊:Chip
[Elsevier]
日期:2024-06-01
卷期号:: 100101-100101
标识
DOI:10.1016/j.chip.2024.100101
摘要
The emergence of data-centric applications such as artificial intelligence (AI), machine learning, and the Internet of Things (IoT), has promoted surges in demand for storage memories with high operating speed and nonvolatile characteristics. HfO2-based ferroelectric memory technologies, emerging as a promising alternative, have attracted considerable attention for their high performance, energy efficiency, and full compatibility with the standard complementary metal-oxide-semiconductors (CMOS) process. These nonvolatile storage elements, such as ferroelectric random access memory (FeRAM), ferroelectric field-effect transistors (FeFETs), and ferroelectric tunnel junctions (FTJs), possess different data access mechanisms, individual merits and specific application boundaries in next-generation memories or even beyond von-Neumann architecture. This paper provides an overview of ferroelectric HfO2 memory technologies, addresses the current challenges and offers insights into future research directions and prospects.
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