Ferroelectric memristor and its neuromorphic computing applications

被引:3
|
作者
Du, Junmei [1 ]
Sun, Bai [2 ]
Yang, Chuan [1 ]
Cao, Zelin [2 ]
Zhou, Guangdong [3 ]
Wang, Hongyan [1 ]
Chen, Yuanzheng [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Phys Sci & Technol, Key Lab Adv Technol Mat, Chengdu 610031, Sichuan, Peoples R China
[2] Xi An Jiao Tong Univ, Frontier Inst Sci & Technol FIST, Micro & Nanotechnol Res Ctr, State Key Lab Mfg Syst Engn, Xian 710049, Shaanxi, Peoples R China
[3] Southwest Univ, Coll Artificial Intelligence, Brain inspired Comp & Intelligent Control Chongqin, Chongqing 400715, Peoples R China
基金
中国国家自然科学基金;
关键词
Ferroelectric memristors; Ferroelectric materials; Electric polarization; Resistive switching; Neuromorphic computing; THIN-FILMS; PHASE-TRANSITIONS; POLARIZATION; OXIDE; INTEGRATION; ELECTRODES; MIGRATION; GROWTH;
D O I
10.1016/j.mtphys.2024.101607
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Ferroelectric memristors, characterized by spontaneous polarization ferroelectric materials as a functional layer of memristor, yields unique ferroelectric resistive switching behaviours under a reversal electric field. This device demonstrates notable capability in the stable and precise emulation of synaptic and neuronal functions, analogous to those in the human brain, offering an attractive option for neuromorphic computing. With the development of nanotechnology and nano-ferroelectric materials, the advent of nano-ferroelectric memristors enables their incorporation into dense crossbar arrays, enhancing the density and efficiency of neuromorphic computing. In this review, we offer a comprehensive overview of ferroelectric memristor and its neuromorphic computing applications, including the recent progress, existing challenges and possible solutions, as well as future development direction.
引用
收藏
页数:24
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