Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156431
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dc.contributor.authorMah, William Wai Lumen_US
dc.contributor.authorKumar, Durgeshen_US
dc.contributor.authorJin, Tianlien_US
dc.contributor.authorPiramanayagam, S. N.en_US
dc.date.accessioned2022-04-20T05:43:56Z-
dc.date.available2022-04-20T05:43:56Z-
dc.date.issued2021-
dc.identifier.citationMah, W. W. L., Kumar, D., Jin, T. & Piramanayagam, S. N. (2021). Domain wall dynamics in (Co/Ni)n nanowire with anisotropy energy gradient for neuromorphic computing applications. Journal of Magnetism and Magnetic Materials, 537, 168131-. https://dx.doi.org/10.1016/j.jmmm.2021.168131en_US
dc.identifier.issn0304-8853en_US
dc.identifier.urihttps://hdl.handle.net/10356/156431-
dc.description.abstractArtificial Intelligence (AI) has been gaining traction recently. However, they are executed on devices with the von Neumann architecture, requiring high power input. Consequently, brain-inspired neuromorphic computing (NC) has been gaining attention because it is expected to be more power efficient and more suitable for AI. Designing of NC circuits involves development of artificial neurons and synapses. More studies have hitherto been focused on artificial synapses instead of neurons because the latter should demonstrate leaky integrate-and-fire (LIF) properties, which is a challenge to replicate artificially. In this work, we propose a domain wall (DW) based device made from perpendicularly magnetized (Co/Ni)n nanowire (NW) with graded magnetic anisotropy and saturation magnetization. The DW is current-driven via spin-transfer-torque. Micromagnetic simulations demonstrated that the DWs in NWs with anisotropy field gradients can automatically return towards the initial position when electrical current is absent, indicative of the leakage process. The underlying physics of DW motion in such structure was studied in detail. To replicate the crystallinity of (Co/Ni)n structures, granular NWs were also defined. Depending on the grain structure of the NW, it was found that LIF properties were achieved under the conditions of steep anisotropy field gradients. Therefore, the proposed design has potential applications in neuron devices.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relationNRF-CRP21-2018-003en_US
dc.relationNRF2015-IIP003-001en_US
dc.relation.ispartofJournal of Magnetism and Magnetic Materialsen_US
dc.rights© 2021 Elsevier B.V. All rights reserved. This paper was published in Journal of Magnetism and Magnetic Materials and is made available with permission of Elsevier B.V.en_US
dc.subjectScience::Physicsen_US
dc.titleDomain wall dynamics in (Co/Ni)n nanowire with anisotropy energy gradient for neuromorphic computing applicationsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.identifier.doi10.1016/j.jmmm.2021.168131-
dc.description.versionSubmitted/Accepted versionen_US
dc.identifier.volume537en_US
dc.identifier.spage168131en_US
dc.subject.keywordsSpintronicsen_US
dc.subject.keywordsNeuromorphic Computingen_US
dc.subject.keywordsSynthetic Neuronsen_US
dc.description.acknowledgementThe authors acknowledge National Supercomputing Centre Singapore (NSCC) for providing computing facilities and the funding from National Research Foundation (NRF) Singapore for the grants NRF-CRP21-2018-003 and NRF2015-IIP003-001.en_US
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