应用化学 ›› 2023, Vol. 40 ›› Issue (11): 1457-1474.DOI: 10.19894/j.issn.1000-0518.230106

• 稀土 •    下一篇

稀土基氧化物忆阻器的研究进展

苏旺, 胡全丽(), 刘景海()   

  1. 内蒙古民族大学纳米创新研究院,内蒙古自治区纳米碳材料重点实验室,内蒙古民族大学化学与材料学院,锂硫电池储能内蒙古自治区工程研究中心,通辽 028000
  • 收稿日期:2023-04-14 接受日期:2023-08-18 出版日期:2023-11-01 发布日期:2023-12-01
  • 通讯作者: 胡全丽,刘景海
  • 基金资助:
    国家自然科学基金地区项目(Nos.??22261043, 21961024)、内蒙古自治区草原英才工程青年领军人才(KYCYYC23001);内蒙古自然科学基金青年项目(2022QN02016);内蒙古自治区高等学校科学技术研究自然科学重点项目(NJZZ22461);内蒙古民族大学博士启动基金(BS456)

Research Progress on Rare Earth-Based Oxide Memristor

Wang SU, Quan-Li HU(), Jing-Hai LIU()   

  1. Nano Innovation Institute,College of Chemistry and Materials Science,Inner Mongolia Minzu University,Inner Mongolia Energineerin Research Center of Lithium-Sulfur Battery Energy Storafe,Tongliao 028000,China
  • Received:2023-04-14 Accepted:2023-08-18 Published:2023-11-01 Online:2023-12-01
  • Contact: Quan-Li HU,Jing-Hai LIU
  • About author:jhliu2008@sinano.ac.cn
    huquanly@imun.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(22261043);Inner Mongolia Autonomous Region Grassland Talent Project Young Leading Talents(KYCYYC23001);Inner Mongolia Natural Science Foundation(2022QN02016);the Research Project of Colleges and Universities in Inner Mongolia Autonomous Region(NJZZ22461);the Doctoral Scientific Research Foundation of Inner Mongolia Minzu University(BS456)

摘要:

忆阻器是一种将电荷和磁通量关联起来的电路学基本元器件,在量纲上它与电阻相同,表现为随电压电流变换的非线性电阻变换行为。作为一种新型的非易失性存储器件,忆阻器具有结构简单、存储密度高和能够模拟生物神经突触等特性。因其独特的“记忆特性”,在阻变存储器、人工神经网络和非线性运算电路设计等领域被广泛的研究。其中,稀土基氧化物忆阻器因其更加稳定的性能和多元的应用前景,成为忆阻器研究关注的热门材料。但目前对于稀土氧化物材料,尤其对重稀土元素并没有较为全面的总结和归纳。因此,文章从忆阻器的结构、组成和电阻转换机理进行了论述。以元素为分类标准,系统地梳理从Y元素到Lu元素,国内外每种稀土氧化物以及稀土掺杂氧化物忆阻器在阻变存储器,人工神经网络等方面应用的重点工作。最后,对目前稀土基忆阻器研究遇到的问题和挑战进行了分析,总结了稀土基氧化物忆阻器优缺点,提出了目前可行的方法,并展望了发展趋势和应用潜力。

关键词: 稀土, 氧化物, 忆阻器

Abstract:

Memristor is a basic component of circuit that associates charge with magnetic flux. It is the same as resistance in dimension, which shows nonlinear resistance switching behavior with voltage and current. As a new type of nonvolatile memory devices, memristor has the advantages of simple structure, high storage density, and simulation of biological synapses. Because of its unique :“memory characteristics”, memristor has been widely studied in the fields of resistive memory devices, neural network, nonlinear computing circuit design and so on. Rare earth oxide-based memristors have been widely researched owing to the stable performance and multiple application prospects. However, there is no comprehensive summary of rare earth oxide-based materials, especially heavy rare earth elements. Therefore, this paper discusses the structure, composition, and resistive switching mechanism of the memristor. Secondly, it systematically reviews the key work of the application of each rare earth element oxide and rare earth doped oxide memristor in resistive memory, artificial neural network, and other aspects, from Y element to Lu element. The performances of rare earth based memristor with different device structures are summarized. Finally, the challenges of the rare earth based memristor are analyzed, the current feasible methods are briefly described, the advantages and disadvantages of rare earth based oxide memristor are summarized, and the development trend and application potential are forecasted.

Key words: Rare earth, Oxides, Memristor

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