无机材料学报 ›› 2023, Vol. 38 ›› Issue (9): 1005-1016.DOI: 10.15541/jim20230132

所属专题: 【能源环境】钙钛矿(202310) 【信息功能】神经形态材料与器件(202310)

• 综述 • 上一篇    下一篇

卤化物钙钛矿光电阻变机理研究进展

郭华军1,2(), 安帅领2,3, 孟婕2,3, 任书霞3, 王文文2, 梁子尚1,2, 宋佳钰2,3, 陈恒彬2,3, 苏航2,3, 赵晋津2()   

  1. 1.石家庄铁道大学 机械工程学院, 石家庄 050043
    2.河北师范大学 化学与材料科学学院, 河北省无机纳米材料重点实验室, 石家庄 050024
    3.石家庄铁道大学 材料科学与工程学院, 石家庄 050043
  • 收稿日期:2023-03-16 修回日期:2023-05-23 出版日期:2023-09-20 网络出版日期:2023-06-16
  • 通讯作者: 赵晋津, 教授. E-mail: jinjinzhao2012@163.com
  • 作者简介:郭华军(1983-), 男, 博士研究生. E-mail: ghjfriend@foxmail.com
  • 基金资助:
    国家自然科学基金(U2130128);国家自然科学基金(11772207);河北省教育厅自然科学基金(ZD2020192);河北省市场监管局科技计划(2023ZC03);中央引导地方科技发展资金(216Z4302G);河北省创新能力提升计划(22567604H);京津冀基础研究合作专项(H2022205047);京津冀基础研究合作专项(22JCZXJC00060);京津冀基础研究合作专项(E3B33911DF);河北师范大学博士科研启动基金(L2023B18)

Research Progress of Photoelectric Resistive Switching Mechanism of Halide Perovskite

GUO Huajun1,2(), AN Shuailing2,3, MENG Jie2,3, REN Shuxia3, WANG Wenwen2, LIANG Zishang1,2, SONG Jiayu2,3, CHEN Hengbin2,3, SU Hang2,3, ZHAO Jinjin2()   

  1. 1. School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
    2. Hebei Key Laboratory of Inorganic Nano-materials, College of Chemistry and Materials Science, Hebei Normal University, Shijiazhuang 050024, China
    3. School of Materials Science and Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
  • Received:2023-03-16 Revised:2023-05-23 Published:2023-09-20 Online:2023-06-16
  • Contact: ZHAO Jinjin, professor. E-mail: jinjinzhao2012@163.com
  • About author:GUO Huajun (1983-), male, PhD candidate. E-mail: ghjfriend@foxmail.com
  • Supported by:
    National Natural Science Foundation of China(U2130128);National Natural Science Foundation of China(11772207);Natural Science Foundation of Hebei Education Department(ZD2020192);Hebei Administration for Market Supervision Science and Technology Project List(2023ZC03);Central Government Guiding Local Science and Technology Development Project(216Z4302G);Innovation Capability Improvement Plan Project of Hebei Province(22567604H);Basic Research Cooperation Special Foundation of Beijing-Tianjin-Hebei Region(H2022205047);Basic Research Cooperation Special Foundation of Beijing-Tianjin-Hebei Region(22JCZXJC00060);Basic Research Cooperation Special Foundation of Beijing-Tianjin-Hebei Region(E3B33911DF);Ph.D Scientific Research Start-up Fund of Hebei Normal University(L2023B18)

摘要:

阻变器作为一种基于可逆、非易失、阻态突变的信息存储和处理器件, 是解决传统存储器的内在物理限制和冯·诺依曼架构瓶颈问题的核心电子元器件之一, 受到了广泛关注。卤化物钙钛矿具有快速的载流子迁移特性和优异的光电转换性能, 作为阻变功能层赋予光电阻变存储器优异的阻变性能。因此, 近年来卤化物钙钛矿基阻变器的存储和计算应用研究发展迅速。然而, 目前对于卤化物钙钛矿的光电阻变机理尚未形成统一认识。基于此, 本文分析了卤化物钙钛矿阻变存储器的工作机理, 对比分析了卤化物钙钛矿基光电阻变器导电细丝和能级匹配调控特性, 总结了其各种机理的制约因素, 揭示了导电细丝在光场和电场作用下重复形成和断裂, 以及阻变器中卤化物钙钛矿功能层和其他功能层之间肖特基势垒改变, 主导卤化物钙钛矿光电阻变器的开关比、阈值(Set/Reset)电压和阻变器性能稳定性, 并进一步展望卤化物钙钛矿基光电阻变器在新型人工智能仿生突触、存内运算、机器视觉的应用。

关键词: 导电细丝, 能级匹配, 卤化物钙钛矿, 存内运算, 机器视觉, 综述

Abstract:

As a reversible, non-volatile, and resistive state mutation information storage and processing device, the resistive switching (RS) memory is expected to solve the inherent physical limitations of the traditional memory and von Neumann bottleneck, and has received widespread attention. Taking advantage of rapid carrier migration characteristics and excellent photoelectric conversion performance, halide perovskite optoelectronic RS memory devices present excellent resistive switching performance. In recent years, researches on storage and computing applications of the halide perovskite RS memory developed unprecedentedly; whereas, the working mechanisms of halide perovskite RS memory still remain unclear. This review analyzes the working mechanism of halide perovskite RS memory, compares the regulation characteristics of conduction filaments (CFs) and energy level matching (ELM), summarizes the constraints of various mechanisms, reveals the repeated formation and dissolution of CFs under light illumination and electric field, as well as Schottky barrier between the perovskite transfer layer and other layer, dominates the On/Off ratio, threshold (Set/Reset) voltage and performance stability of halide perovskite optoelectronic RS memory, and prospects the applications of halide perovskite RS memory in artificial intelligence bionic synapses, in-memory computing, and machine vision.

Key words: conductive filament, energy level matching, halide perovskite, in-memory computing, machine vision, review

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