Presentation
28 September 2023 3D magnetic nanowire networks for neuromorphic computing
Author Affiliations +
Abstract
A critical challenge towards integrating 3-dimensional (3D) magnetic nanostructures into neuromorphic circuitry is stabilizing different magnetic states that are controllable via external stimuli. Here, we demonstrate quasi-ordered and random interconnected magnetic nanowire networks as potential candidates. In these networks, step-by-step magnetization reversal mediated by domain wall (DW) pinning / depinning at the network intersections is observed. The pinning/depinning of the DWs can be further controlled by the driving current density. These properties are amenable to implement neuromorphic computing elements such as artificial synapses.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dhritiman Bhattacharya, Zhijie Chen, Erin Marlowe, Christopher Jensen, James Malloy, Chen Liu, Thomas Hulse, Edward Burks, Xixiang Zhang, Dustin Gilbert, Gen Yin, and Kai Liu "3D magnetic nanowire networks for neuromorphic computing", Proc. SPIE PC12656, Spintronics XVI, PC126560L (28 September 2023); https://doi.org/10.1117/12.2677819
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KEYWORDS
Magnetism

Nanowires

Electrodes

Holography

Integrated circuits

Magnetometry

Nanostructures

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