Solid state magneto-ionic (MI) effects, which can be achieved through controlled ionic migration at atomic scale interfaces in magnetic nanostructures, have shown promise for energy-efficient nanoelectronics. Our recent efforts reach outside of the often-explored oxygen-based MI systems, and have focused on alternative ionic species, including nitrogen. Two nitrogen-based systems, Ta/CoFe/MnN/Ta and the all-nitride Mn4N/MnNx, show MI manipulation of magnetic properties including saturation magnetization and exchange bias. Such MI systems are valuable platforms to gain quantitative understanding at buried interfaces and they demonstrate contrasts with oxygen-based MI effects in terms of operating principles, switching speed, and reversibility.
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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