TY - JOUR
T1 - 氧化物双介质层忆阻器的设计及应用
AU - You, Junqi
AU - Li, Ce
AU - Yang, Dongliang
AU - Sun, Linfeng
N1 - Publisher Copyright:
© 2023 Science Press. All rights reserved.
PY - 2023/4/20
Y1 - 2023/4/20
N2 - Memristor, fusing the functions of storage and computing within a single device, is one of the core electronic components to solve the bottleneck of von Neumann architecture. With the unique volatile/non-volatile resistive switching characteristic, memristor can simulate the function of synapses/neurons in brain well. In addition, due to the compatibility with traditional complementary metal-oxide-semiconductor (CMOS) processes, metal-oxide-based memristors have received a lot of attention. In recent years, many kinds of metal-oxide memristors based on single dielectric layer have been proposed. However, there are still some problems such as the instability of switching voltage, fluctuation of high/low resistance state and poor endurance of memristive device. Thus, the researchers have successfully optimized the device performance by introducing the double dielectric layer into the metal-oxide memristors. In this article, we introduce the advantages of double dielectric layers-based metal-oxide memristors, and discuss their mechanism and design of double dielectric layers-based metal-oxide memristors. Eventually, we introduce their potential applications in neuromorphic computing. This review provides some enlightenment on how to design high-performance metal-oxide memristor based on double dielectric layers.
AB - Memristor, fusing the functions of storage and computing within a single device, is one of the core electronic components to solve the bottleneck of von Neumann architecture. With the unique volatile/non-volatile resistive switching characteristic, memristor can simulate the function of synapses/neurons in brain well. In addition, due to the compatibility with traditional complementary metal-oxide-semiconductor (CMOS) processes, metal-oxide-based memristors have received a lot of attention. In recent years, many kinds of metal-oxide memristors based on single dielectric layer have been proposed. However, there are still some problems such as the instability of switching voltage, fluctuation of high/low resistance state and poor endurance of memristive device. Thus, the researchers have successfully optimized the device performance by introducing the double dielectric layer into the metal-oxide memristors. In this article, we introduce the advantages of double dielectric layers-based metal-oxide memristors, and discuss their mechanism and design of double dielectric layers-based metal-oxide memristors. Eventually, we introduce their potential applications in neuromorphic computing. This review provides some enlightenment on how to design high-performance metal-oxide memristor based on double dielectric layers.
KW - double dielectric layer metal-oxide
KW - memristor
KW - neuromorphic computing
KW - neuron
KW - review
KW - synapse
UR - http://www.scopus.com/inward/record.url?scp=85159339529&partnerID=8YFLogxK
U2 - 10.15541/jim20220760
DO - 10.15541/jim20220760
M3 - 文章
AN - SCOPUS:85159339529
SN - 1000-324X
VL - 38
SP - 387
EP - 398
JO - Wuji Cailiao Xuebao/Journal of Inorganic Materials
JF - Wuji Cailiao Xuebao/Journal of Inorganic Materials
IS - 4
ER -