Author
Listed:
- Han-Chun Wu
(School of Physics, Beijing Institute of Technology)
- Alexander N. Chaika
(School of Physics, Centre for Research on Adaptive Nanostructures and Nanodevices, Trinity College Dublin
Institute of Solid State Physics of Russian Academy of Sciences)
- Ming-Chien Hsu
(National Taiwan University)
- Tsung-Wei Huang
(National Taiwan University)
- Mourad Abid
(School of Physics, Beijing Institute of Technology)
- Mohamed Abid
(School of Physics, Beijing Institute of Technology)
- Victor Yu Aristov
(Institute of Solid State Physics of Russian Academy of Sciences
Deutsches Elektronen-Synchrotron DESY
Institut für Experimentelle Physik, TU Bergakademie Freiberg)
- Olga V. Molodtsova
(Deutsches Elektronen-Synchrotron DESY
National Research University of Information Technologies, Mechanics and Optics)
- Sergey V. Babenkov
(Deutsches Elektronen-Synchrotron DESY)
- Yuran Niu
(MAX-lab, Lund University)
- Barry E. Murphy
(School of Physics, Centre for Research on Adaptive Nanostructures and Nanodevices, Trinity College Dublin)
- Sergey A. Krasnikov
(School of Physics, Centre for Research on Adaptive Nanostructures and Nanodevices, Trinity College Dublin)
- Olaf Lübben
(School of Physics, Centre for Research on Adaptive Nanostructures and Nanodevices, Trinity College Dublin)
- Huajun Liu
(Institute of Plasma Physics, Chinese Academy of Sciences)
- Byong Sun Chun
(Korea Research Institute of Standards and Science)
- Yahya T. Janabi
(Saudi Aramco Materials Performance Unit TSD, Research and Development Center)
- Sergei N. Molotkov
(Institute of Solid State Physics of Russian Academy of Sciences)
- Igor V. Shvets
(School of Physics, Centre for Research on Adaptive Nanostructures and Nanodevices, Trinity College Dublin)
- Alexander I. Lichtenstein
(Institut für Theoretische Physik, Universität Hamburg
Ural Federal University)
- Mikhail I. Katsnelson
(Ural Federal University
Institute for Molecules and Materials, Radboud University)
- Ching-Ray Chang
(National Taiwan University)
Abstract
Graphene supports long spin lifetimes and long diffusion lengths at room temperature, making it highly promising for spintronics. However, making graphene magnetic remains a principal challenge despite the many proposed solutions. Among these, graphene with zig-zag edges and ripples are the most promising candidates, as zig-zag edges are predicted to host spin-polarized electronic states, and spin–orbit coupling can be induced by ripples. Here we investigate the magnetoresistance of graphene grown on technologically relevant SiC/Si(001) wafers, where inherent nanodomain boundaries sandwich zig-zag structures between adjacent ripples of large curvature. Localized states at the nanodomain boundaries result in an unprecedented positive in-plane magnetoresistance with a strong temperature dependence. Our work may offer a tantalizing way to add the spin degree of freedom to graphene.
Suggested Citation
Han-Chun Wu & Alexander N. Chaika & Ming-Chien Hsu & Tsung-Wei Huang & Mourad Abid & Mohamed Abid & Victor Yu Aristov & Olga V. Molodtsova & Sergey V. Babenkov & Yuran Niu & Barry E. Murphy & Sergey A, 2017.
"Large positive in-plane magnetoresistance induced by localized states at nanodomain boundaries in graphene,"
Nature Communications, Nature, vol. 8(1), pages 1-9, April.
Handle:
RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms14453
DOI: 10.1038/ncomms14453
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