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基于石墨烯材料的忆阻式非易失性存储器

Memristive Non-Volatile Memory Based on Graphene Materials.

作者信息

Shen Zongjie, Zhao Chun, Qi Yanfei, Mitrovic Ivona Z, Yang Li, Wen Jiacheng, Huang Yanbo, Li Puzhuo, Zhao Cezhou

机构信息

Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.

Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3BX, UK.

出版信息

Micromachines (Basel). 2020 Mar 25;11(4):341. doi: 10.3390/mi11040341.

DOI:10.3390/mi11040341
PMID:32218324
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7231216/
Abstract

Resistive random access memory (RRAM), which is considered as one of the most promising next-generation non-volatile memory (NVM) devices and a representative of memristor technologies, demonstrated great potential in acting as an artificial synapse in the industry of neuromorphic systems and artificial intelligence (AI), due its advantages such as fast operation speed, low power consumption, and high device density. Graphene and related materials (GRMs), especially graphene oxide (GO), acting as active materials for RRAM devices, are considered as a promising alternative to other materials including metal oxides and perovskite materials. Herein, an overview of GRM-based RRAM devices is provided, with discussion about the properties of GRMs, main operation mechanisms for resistive switching (RS) behavior, figure of merit (FoM) summary, and prospect extension of GRM-based RRAM devices. With excellent physical and chemical advantages like intrinsic Young's modulus (1.0 TPa), good tensile strength (130 GPa), excellent carrier mobility (2.0 × 10 cm∙V∙s), and high thermal (5000 Wm∙K) and superior electrical conductivity (1.0 × 10 S∙m), GRMs can act as electrodes and resistive switching media in RRAM devices. In addition, the GRM-based interface between electrode and dielectric can have an effect on atomic diffusion limitation in dielectric and surface effect suppression. Immense amounts of concrete research indicate that GRMs might play a significant role in promoting the large-scale commercialization possibility of RRAM devices.

摘要

电阻式随机存取存储器(RRAM)被认为是最有前途的下一代非易失性存储器(NVM)设备之一,也是忆阻器技术的代表,由于其具有诸如快速操作速度、低功耗和高器件密度等优点,在神经形态系统和人工智能(AI)行业中作为人工突触展现出了巨大潜力。石墨烯及相关材料(GRMs),尤其是氧化石墨烯(GO),作为RRAM器件的活性材料,被认为是包括金属氧化物和钙钛矿材料在内的其他材料的有前途的替代品。本文提供了基于GRM的RRAM器件的概述,讨论了GRMs的特性、电阻切换(RS)行为的主要操作机制、品质因数(FoM)总结以及基于GRM的RRAM器件的前景扩展。凭借诸如固有杨氏模量(1.0太帕)、良好的拉伸强度(130吉帕)、出色的载流子迁移率(2.0×10厘米²·伏⁻¹·秒⁻¹)以及高导热性(5000瓦·米⁻¹·开⁻¹)和卓越的导电性(1.0×10⁶ 西门子·米⁻¹)等优异的物理和化学优势,GRMs可以在RRAM器件中充当电极和电阻切换介质。此外,基于GRM的电极与电介质之间的界面会对电介质中的原子扩散限制和表面效应抑制产生影响。大量具体研究表明,GRMs可能在促进RRAM器件的大规模商业化可能性方面发挥重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/fdcbdaf686c7/micromachines-11-00341-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/81d8f046c9e8/micromachines-11-00341-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/f8b1db97b321/micromachines-11-00341-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/ff2c139101a6/micromachines-11-00341-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/fdcbdaf686c7/micromachines-11-00341-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/1e3177c9ff42/micromachines-11-00341-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/49bfeec845b1/micromachines-11-00341-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/b649bf81083a/micromachines-11-00341-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/fa97fef56ba0/micromachines-11-00341-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/9010e005055f/micromachines-11-00341-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/10a69bb5b62e/micromachines-11-00341-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/81d8f046c9e8/micromachines-11-00341-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/f8b1db97b321/micromachines-11-00341-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/b0c8ed6fb589/micromachines-11-00341-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/914ead8f878d/micromachines-11-00341-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/ff2c139101a6/micromachines-11-00341-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/342a/7231216/fdcbdaf686c7/micromachines-11-00341-g012.jpg

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