• Open Access

Multifunctional Spin Logic Operations in Graphene Spin Circuits

Dmitrii Khokhriakov, Shehrin Sayed, Anamul Md. Hoque, Bogdan Karpiak, Bing Zhao, Supriyo Datta, and Saroj P. Dash
Phys. Rev. Applied 18, 064063 – Published 21 December 2022
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Abstract

Spin-based computing, combining logic and nonvolatile magnetic memory, is promising for emerging information technologies. However, the realization of a universal spin logic operation, representing a reconfigurable building block with all-electrical spin-current communication, has so far remained challenging. Here, we experimentally demonstrate reprogrammable all-electrical multifunctional spin logic operations in a nanoelectronic device architecture, utilizing graphene buses for spin communication and mixing and nanomagnets for writing and reading information at room temperature. This device realizes a multistate spin-majority logic operation, which is reconfigured to achieve (n)and, (n)or, and xnor Boolean operations, depending on the magnetization of inputs. The results are in good agreement with the predictions from a spin-circuit model, providing an experimental demonstration of a spin-based logic unit that takes advantage of the vector nature of spin, as opposed to conventional scalar charge-based devices. These spin logic operations in large-area graphene are fully compatible with industrial fabrication processes and represent a promising platform for scalable all-electric spin-based logic-in-memory computing architecture.

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  • Received 12 August 2022
  • Revised 12 October 2022
  • Accepted 16 November 2022

DOI:https://doi.org/10.1103/PhysRevApplied.18.064063

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by Bibsam.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

Dmitrii Khokhriakov1, Shehrin Sayed2,3, Anamul Md. Hoque1, Bogdan Karpiak1, Bing Zhao1, Supriyo Datta4, and Saroj P. Dash1,5,*

  • 1Department of Microtechnology and Nanoscience, Chalmers University of Technology, SE-41296, Göteborg, Sweden
  • 2Department of Electrical Engineering and Computer Sciences, University of California-Berkeley, Berkeley, California 94720, USA
  • 3Materials Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
  • 4Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47907, USA
  • 5Graphene Center, Chalmers University of Technology, SE-41296, Göteborg, Sweden

  • *saroj.dash@chalmers.se

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Vol. 18, Iss. 6 — December 2022

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