English

3D Interconnected Magnetic Nanowire Networks as Potential Integrated Multistate Memristors

Applied Physics 2023-01-02 v2

Abstract

Interconnected magnetic nanowire (NW) networks offer a promising platform for 3-dimensional (3D) information storage and integrated neuromorphic computing. Here we report discrete propagation of magnetic states in interconnected Co nanowire networks driven by magnetic field and current, manifested in distinct magnetoresistance (MR) features. In these networks, when only a few interconnected NWs were measured, multiple MR kinks and local minima were observed, including a significant minimum at a positive field during the descending field sweep. Micromagnetic simulations showed that this unusual feature was due to domain wall (DW) pinning at the NW intersections, which was confirmed by off-axis electron holography imaging. In a complex network with many intersections, sequential switching of nanowire sections separated by interconnects was observed, along with stochastic characteristics. The pinning/depinning of the DWs can be further controlled by the driving current density. These results illustrate the promise of such interconnected networks as integrated multistate memristors.

Keywords

Cite

@article{arxiv.2211.09687,
  title  = {3D Interconnected Magnetic Nanowire Networks as Potential Integrated Multistate Memristors},
  author = {Dhritiman Bhattacharya and Zhijie Chen and Christopher J. Jensen and Chen Liu and Edward C. Burks and Dustin A. Gilbert and Xixiang Zhang and Gen Yin and Kai Liu},
  journal= {arXiv preprint arXiv:2211.09687},
  year   = {2023}
}

Comments

20 pages, 5 figures; supporting information 13 pages, 5 figures