TY - JOUR
T1 - Memristive non-volatile memory based on graphene materials
AU - Shen, Zongjie
AU - Zhao, Chun
AU - Qi, Yanfei
AU - Mitrovic, Ivona Z.
AU - Yang, Li
AU - Wen, Jiacheng
AU - Huang, Yanbo
AU - Li, Puzhuo
AU - Zhao, Cezhou
N1 - Publisher Copyright:
© 2020 by the authors.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - 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 RRAMdevices 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 × 105 cm2·V-1·s-1), and high thermal (5000 Wm-1·K-1) and superior electrical conductivity (1.0 × 106 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.
AB - 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 RRAMdevices 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 × 105 cm2·V-1·s-1), and high thermal (5000 Wm-1·K-1) and superior electrical conductivity (1.0 × 106 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.
KW - Graphene-based materials
KW - Memristor
KW - Non-volatile
KW - Operation mechanisms
UR - http://www.scopus.com/inward/record.url?scp=85086628001&partnerID=8YFLogxK
U2 - 10.3390/MI11040341
DO - 10.3390/MI11040341
M3 - Review article
AN - SCOPUS:85086628001
SN - 2072-666X
VL - 11
JO - Micromachines
JF - Micromachines
IS - 4
M1 - 341
ER -