4.8 Article

Nonvolatile Multistates Memories for High-Density Data Storage

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 12, 期 38, 页码 42449-42471

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.0c10184

关键词

nonvolatile memory; multistates; multilevel; high-density storage; in-memory computing; brainlike computing

资金

  1. National Natural Science Foundation of China [51871112, 11974145]
  2. 111 Project [B13029]
  3. Shandong Provincial Natural Science Foundation [ZR2018MA035]
  4. ARC Professional Future Fellowship [FT130100778]
  5. ARC Centre of Excellence in Future Low-Energy Electronics Technologies [CE170100039]
  6. Australian Research Council [DP190103316]
  7. Nanyang Assistant professorship grant from Nanyang Technological University
  8. Academic Research Fund Tier 1 from Singapore Ministry of Education [RG108/17, RG177/18]
  9. Academic Research Fund Tier 3 from Singapore Ministry of Education [MOE2018-T3-1-002]

向作者/读者索取更多资源

In the current information age, the realization of memory devices with energy efficient design, high storage density, nonvolatility, fast access, and low cost is still a great challenge. As a promising technology to meet these stringent requirements, nonvolatile multistates memory (NMSM) has attracted lots of attention over the past years. Owing to the capability to store data in more than a single bit (0 or 1), the storage density is dramatically enhanced without scaling down the memory cell, making memory devices more efficient and less expensive. Multistates in a single cell also provide an unconventional in-memory computing platform beyond the Von Neumann architecture and enable neuromorphic computing with low power consumption. In this review, an in-depth perspective is presented on the recent progress and challenges on the device architectures, material innovation, working mechanisms of various types of NMSMs, including flash, magnetic random-access memory (MRAM), resistive random-access memory (RRAM), ferroelectric random-access memory (FeRAM), and phase-change memory (PCM). The intriguing properties and performance of these NMSMs, which are the key to realizing highly integrated memory hierarchy, are discussed and compared.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据