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Memristive Non-Volatile Memory Based on Graphene Materials

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 artifi...

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Autores principales: Shen, Zongjie, Zhao, Chun, Qi, Yanfei, Mitrovic, Ivona Z., Yang, Li, Wen, Jiacheng, Huang, Yanbo, Li, Puzhuo, Zhao, Cezhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231216/
https://www.ncbi.nlm.nih.gov/pubmed/32218324
http://dx.doi.org/10.3390/mi11040341
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author Shen, Zongjie
Zhao, Chun
Qi, Yanfei
Mitrovic, Ivona Z.
Yang, Li
Wen, Jiacheng
Huang, Yanbo
Li, Puzhuo
Zhao, Cezhou
author_facet Shen, Zongjie
Zhao, Chun
Qi, Yanfei
Mitrovic, Ivona Z.
Yang, Li
Wen, Jiacheng
Huang, Yanbo
Li, Puzhuo
Zhao, Cezhou
author_sort Shen, Zongjie
collection PubMed
description 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(5) cm(2)∙V(−1)∙s(−1)), and high thermal (5000 Wm(−1)∙K(−1)) and superior electrical conductivity (1.0 × 10(6) S∙m(−1)), 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.
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spelling pubmed-72312162020-05-22 Memristive Non-Volatile Memory Based on Graphene Materials Shen, Zongjie Zhao, Chun Qi, Yanfei Mitrovic, Ivona Z. Yang, Li Wen, Jiacheng Huang, Yanbo Li, Puzhuo Zhao, Cezhou Micromachines (Basel) Review 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(5) cm(2)∙V(−1)∙s(−1)), and high thermal (5000 Wm(−1)∙K(−1)) and superior electrical conductivity (1.0 × 10(6) S∙m(−1)), 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. MDPI 2020-03-25 /pmc/articles/PMC7231216/ /pubmed/32218324 http://dx.doi.org/10.3390/mi11040341 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Shen, Zongjie
Zhao, Chun
Qi, Yanfei
Mitrovic, Ivona Z.
Yang, Li
Wen, Jiacheng
Huang, Yanbo
Li, Puzhuo
Zhao, Cezhou
Memristive Non-Volatile Memory Based on Graphene Materials
title Memristive Non-Volatile Memory Based on Graphene Materials
title_full Memristive Non-Volatile Memory Based on Graphene Materials
title_fullStr Memristive Non-Volatile Memory Based on Graphene Materials
title_full_unstemmed Memristive Non-Volatile Memory Based on Graphene Materials
title_short Memristive Non-Volatile Memory Based on Graphene Materials
title_sort memristive non-volatile memory based on graphene materials
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231216/
https://www.ncbi.nlm.nih.gov/pubmed/32218324
http://dx.doi.org/10.3390/mi11040341
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