W
Wang Kang
Researcher at Beihang University
Publications - 164
Citations - 4948
Wang Kang is an academic researcher from Beihang University. The author has contributed to research in topics: Magnetoresistive random-access memory & Spin-transfer torque. The author has an hindex of 31, co-authored 153 publications receiving 3308 citations. Previous affiliations of Wang Kang include University of Paris-Sud & Centre national de la recherche scientifique.
Papers
More filters
Journal ArticleDOI
Skyrmion-Electronics: An Overview and Outlook
TL;DR: The fundamental and elementary functionality of skyrmions, such as electric write-in, read-out, transmission, and manipulation, are introduced, and potential electronic applications of sk Kyrmions for nonvolatile memory and logic circuits are described with case studies.
Journal ArticleDOI
Skyrmion-based artificial synapses for neuromorphic computing
Kyung Mee Song,Jaeseung Jeong,Biao Pan,Xichao Zhang,Jing Xia,Sun Kyung Cha,Tae Eon Park,Kwangsu Kim,Kwangsu Kim,Simone Finizio,Jörg Raabe,Joonyeon Chang,Joonyeon Chang,Yan Zhou,Weisheng Zhao,Wang Kang,Hyunsu Ju,Seonghoon Woo,Seonghoon Woo +18 more
TL;DR: In this article, the accumulation and dissipation of magnetic skyrmions in ferrimagnetic multilayers can be controlled with electrical pulses to represent the variations in the synaptic weights.
Journal ArticleDOI
Current-induced magnetization switching in atom-thick tungsten engineered perpendicular magnetic tunnel junctions with large tunnel magnetoresistance.
Mengxing Wang,Wenlong Cai,Kaihua Cao,Jiaqi Zhou,J. Wrona,Shouzhong Peng,Huaiwen Yang,Jiaqi Wei,Wang Kang,Youguang Zhang,Jürgen Langer,Berthold Ocker,Albert Fert,Albert Fert,Weisheng Zhao +14 more
TL;DR: In this article, the spin transfer torque switching in nano-scale perpendicular magnetic tunnel junctions with a magnetoresistance ratio up to 249% and a resistance area product as low as 7.0
Journal ArticleDOI
Magnetic skyrmion-based synaptic devices
TL;DR: In this paper, a skyrmion-based artificial synapse device for neuromorphic systems was proposed, which can be strengthened/weakened by positive/negative stimuli, mimicking the potentiation/depression process of a biological synapse.
Journal ArticleDOI
Magnetic skyrmion-based artificial neuron device.
TL;DR: A skyrmion-based artificial neuron is proposed by exploiting the tunable current-driven skyrMion motion dynamics, mimicking the leaky-integrate-fire function of a biological neuron, which may enable us to build a dense and energy-efficient spiking neuromorphic computing system.