Please use this identifier to cite or link to this item:
|Title:||Synaptic element for neuromorphic computing using a magnetic domain wall device with synthetic pinning sites||Authors:||Jin, Tianli
Sernicola, Nicolo Roberto
Lew, Wen Siang
Piramanayagam, S. N.
|Keywords:||Science::Physics||Issue Date:||2019||Source:||Jin, T., Gan, W., Tan, F., Sernicola, N. R., Lew, W. S., & Piramanayagam, S. N. (2019). Synaptic element for neuromorphic computing using a magnetic domain wall device with synthetic pinning sites. Journal of Physics D: Applied Physics, 52(44), 445001-. doi:10.1088/1361-6463/ab35b7||Journal:||Journal of Physics D: Applied Physics||Abstract:||The ability to make devices that mimic the human brain has been a subject of great interest in scientific research in recent years. Current artificial intelligence algorithms are primarily executed on the von Neumann hardware. This causes a bottleneck in processing speeds and is not energy efficient. In this work, we have demonstrated a synaptic element based on a magnetic domain wall device. The domain wall motion was controlled with the use of synthetic pinning sites, which were introduced by boron (B+) ion-implantation for local modification of the magnetic properties. The magnetization switching process of a Co/Pd multilayer structure with perpendicular magnetic anisotropy was observed by using MagVision Kerr microscopy system. The B+ implantation depth was controlled by varying the thickness of a Ta overcoat layer. The Kerr microscopy results correlate with the electrical measurements of the wire which show multiple resistive states. The control of the domain wall motion with the synthetic pinning sites is demonstrated to be a reliable technique for neuromorphic applications.||URI:||https://hdl.handle.net/10356/141986||ISSN:||0022-3727||DOI:||10.1088/1361-6463/ab35b7||Rights:||© 2019 IOP Publishing Ltd. All rights reserved. This is an author-created, un-copyedited version of an article accepted for publication in Journal of Physics D: Applied Physics. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher authenticated version is available online at https://doi.org/10.1088/1361-6463/ab35b7||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SPMS Journal Articles|
Files in This Item:
|Synaptic element for neuromorphic computing using magnetic domain wall device with synthetic pinning sites.pdf||455.21 kB||Adobe PDF||View/Open|
Updated on Mar 7, 2021
Updated on May 16, 2022
Updated on May 16, 2022
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.