A Dual Magnetic Tunnel Junction‐Based Neuromorphic Device

  • Hong J
  • Li X
  • Xu N
  • et al.
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Abstract

With the advent of artificial intelligence (AI) in computational devices technology, various synaptic array architectures are proposed for neuromorphic computing applications. Among them, the non-volatile memory (NVM) architectures are very promising for their small cell size, ultra-low energy consumption, and capability for large parallel data processing through 3D configurations capable of multilevel signal processing. Herein, the viability of such magnetic tunnel junction (MTJ)-based synaptic devices via fabrication and characterization of multi-junction spintronic devices is demonstrated, with the experimental results supported through micromagnetic simulations.

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Hong, J., Li, X., Xu, N., Chen, H., Cabrini, S., Khizroev, S., … You, L. (2020). A Dual Magnetic Tunnel Junction‐Based Neuromorphic Device. Advanced Intelligent Systems, 2(12). https://doi.org/10.1002/aisy.202000143

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