Song, Kyung Mee Jeong, Jae-Seung Pan, Biao Zhang, Xichao Xia, Jing Cha, Sunkyung Park, Tae-Eon Kim, Kwangsu Finizio, Simone Raabe, Joerg Chang, Joonyeon Zhou, Yan Zhao, Weisheng Kang, Wang Ju, Hyunsu Woo, Seonghoon 2024-01-19T18:02:49Z 2024-01-19T18:02:49Z 2021-09-04 2020-03 2520-1131 https://pubs.kist.re.kr/handle/201004/118919 Magnetic skyrmions are topologically protected spin textures that have nanoscale dimensions and can be manipulated by an electric current. These properties make the structures potential information carriers in data storage, processing and transmission devices. However, the development of functional all-electrical electronic devices based on skyrmions remains challenging. Here we show that the current-induced creation, motion, detection and deletion of skyrmions at room temperature can be used to mimic the potentiation and depression behaviours of biological synapses. In particular, the accumulation and dissipation of magnetic skyrmions in ferrimagnetic multilayers can be controlled with electrical pulses to represent the variations in the synaptic weights. Using chip-level simulations, we demonstrate that such artificial synapses based on magnetic skyrmions could be used for neuromorphic computing tasks such as pattern recognition. For a handwritten pattern dataset, our system achieves a recognition accuracy of similar to 89%, which is comparable to the accuracy achieved with software-based ideal training (similar to 93%). English NATURE PUBLISHING GROUP MAGNETIC SKYRMIONS DYNAMICS DEVICES MOTION Skyrmion-based artificial synapses for neuromorphic computing Article 10.1038/s41928-020-0385-0 1 NATURE ELECTRONICS, v.3, no.3, pp.148 - 155 NATURE ELECTRONICS 3 3 148 155 scie scopus 000519841100001 2-s2.0-85082703149 Engineering, Electrical & Electronic Engineering Article MAGNETIC SKYRMIONS DYNAMICS DEVICES MOTION magnetic skyrmion synapse neuromorhic comoputing spin texture MNIST