Voltage-controllable magnetic skyrmion dynamics for spiking neuron device applications

作     者：Ming-Min Zhu Shu-Ting Cui Xiao-Fei Xu Sheng-Bin Shi Di-Qing Nian Jing Luo Yang Qiu Han Yang Guo-Liang Yu Hao-Miao Zhou 朱明敏;崔淑婷;徐晓飞;施胜宾;年迪青;罗京;邱阳;杨浛;郁国良;周浩淼

作者机构：Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang ProvinceCollege of Information EngineeringChina Jiliang UniversityHangzhou 310018China 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2022年第31卷第1期

页      面：664-668页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070205[理学-凝聚态物理] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0702[理学-物理学] 

基　　金：the National Natural Science Foundation of China(Grant Nos.11902316,51902300,and 11972333) the Natural Science Foundation of Zhejiang Province,China(Grant Nos.LQ19F010005,LY21F010011,and LZ19A020001) 

主　　题：magnetic skyrmion leaky-integrate-fire multiferroic heterostructure artificial neuron 

摘      要：Voltage-controlled magnetic skyrmions have attracted special attention because they satisfy the requirements for well-controlled high-efficiency and energy saving for future skyrmion-based neuron device *** this work,we propose a compact leaky-integrate-fire(LIF)spiking neuron device by using the voltage-driven skyrmion dynamics in a multiferroic nanodisk *** skyrmion dynamics is controlled by well tailoring voltage-induced piezostrains,where the skyrmion radius can be effectively modulated by applying the piezostrain *** the biological neuron,the proposed skyrmionic neuron will accumulate a membrane potential as skyrmion radius is varied by inputting the continuous piezostrain spikes,and the skyrmion radius will return to the initial state in the absence of ***,this skyrmion radius-based membrane potential will reach a definite threshold value by the strain stimuli and then reset by removing the *** the LIF neuronal functionality and the behaviors of the proposed skyrmionic neuron device are elucidated through the micromagnetic simulation *** results may benefit the utilization of skyrmionic neuron for constructing the future energy-efficient and voltage-tunable spiking neural networks.