Large room temperature spin-to-charge conversion signals in a few-layer graphene/Pt lateral heterostructure

Yan, Wenjing; Sagasta, Edurne; Ribeiro, M�rio; Niimi, Yasuhiro; Hueso, Luis E.; Casanova, F�lix

Abstract

© 2017 The Author(s). Electrical generation and detection of pure spin currents without the need of magnetic materials are key elements for the realization of full electrically controlled spintronic devices. In this framework, achieving a large spin-to-charge conversion signal is crucial, as considerable outputs are needed for plausible applications. Unfortunately, the values obtained so far have been rather low. Here we exploit the spin Hall effect by using Pt, a non-magnetic metal with strong spin-orbit coupling, to generate and detect pure spin currents in a few-layer graphene channel. Furthermore, the outstanding properties of graphene, with long-distance spin transport and higher electrical resistivity than metals, allow us to achieve in our graphene/Pt lateral heterostructures the largest spin-to-charge output voltage at room temperature reported so far in the literature. Our approach opens up exciting opportunities towards the implementation of spin-orbit-based logic circuits and all electrical control of spin information without magnetic field.

Citation

Yan, W., Sagasta, E., Ribeiro, M., Niimi, Y., Hueso, L. E., & Casanova, F. (2017). Large room temperature spin-to-charge conversion signals in a few-layer graphene/Pt lateral heterostructure. Nature Communications, 8(1), Article 661. https://doi.org/10.1038/s41467-017-00563-y

• Journal Article Type: Article
• Acceptance Date: Jul 10, 2017
• Online Publication Date: Sep 22, 2017
• Publication Date: Dec 1, 2017
• Deposit Date: Nov 14, 2019
• Publicly Available Date: Jan 17, 2020
• Journal: Nature Communications
• Electronic ISSN: 2041-1723
• Publisher: Nature Publishing Group
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 1
• Article Number: 661
• DOI: https://doi.org/10.1038/s41467-017-00563-y
• Public URL: https://nottingham-repository.worktribe.com/output/3085122