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(Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province,College of Information Engineering,China Jiliang University,Hangzhou 310018,China)

机构地区：[1]Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province,College of Information Engineering,China Jiliang University,Hangzhou 310018,China

出　　处：《Chinese Physics B》2022年第1期664-668,共5页中国物理B（英文版）

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).

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 applications.In this work,we propose a compact leaky-integrate-fire(LIF)spiking neuron device by using the voltage-driven skyrmion dynamics in a multiferroic nanodisk structure.The skyrmion dynamics is controlled by well tailoring voltage-induced piezostrains,where the skyrmion radius can be effectively modulated by applying the piezostrain pulses.Like 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 piezostrain.Therefore,this skyrmion radius-based membrane potential will reach a definite threshold value by the strain stimuli and then reset by removing the stimuli.Such the LIF neuronal functionality and the behaviors of the proposed skyrmionic neuron device are elucidated through the micromagnetic simulation studies.Our results may benefit the utilization of skyrmionic neuron for constructing the future energy-efficient and voltage-tunable spiking neural networks.

关 键 词：magnetic skyrmion leaky-integrate-fire multiferroic heterostructure artificial neuron 

分 类 号：O469[理学—凝聚态物理] TP183[理学—电子物理学]