3D Interconnected Magnetic Nanowire Networks as Potential Integrated Multistate Memristors

Dhritiman Bhattacharya, Zhijie Chen, Christopher J. Jensen, Edward C. Burks, Dustin A. Gilbert, Xixiang Zhang, Gen Yin, Kai Liu

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.
Original languageEnglish (US)
JournalNano Letters
StatePublished - 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-12-08
Acknowledged KAUST grant number(s): OSR-2019-CRG8-4081
Acknowledgements: This work has been supported in part by the NSF (ECCS-1933527, ECCS- 2151809), by SMART (2018-NE-2861), one of seven centers of nCORE, a Semiconductor Research Corporation program, sponsored by the National Institute of Standards and Technology (NIST), and by KAUST (OSR-2019-CRG8-4081).


Dive into the research topics of '3D Interconnected Magnetic Nanowire Networks as Potential Integrated Multistate Memristors'. Together they form a unique fingerprint.

Cite this