Dhritiman Bhattacharya,1 Zhijie Chen,1 Erin Marlowe,1 Christopher Jensen,1 James Malloy,1 Chen Liu,2 Thomas Hulse,3 Edward Burks,4 Xixiang Zhang,2 Dustin Gilbert,5 Gen Yin,1 Kai Liuhttps://orcid.org/0000-0001-9413-67821
1Georgetown Univ. (United States) 2King Abdullah Univ. of Science and Technology (Saudi Arabia) 3Univ. of Louisville (United States) 4Univ. of California, Davis (United States) 5The Univ. of Tennessee Knoxville (United States)
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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.
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Dhritiman Bhattacharya, Zhijie Chen, Erin Marlowe, Christopher Jensen, James Malloy, Chen Liu, Thomas Hulse, Edward Burks, Xixiang Zhang, Dustin Gilbert, Gen Yin, 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