English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Understanding and tuning the quantum-confinement effect and edge magnetism in zigzag graphene nanoribbon

MPS-Authors
/persons/resource/persons135901

Huang,  Liangfeng
Adaptive Structural Materials (Simulation), Computational Materials Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society;
Key Laboratory of Materials Physics, Institute of Solid State Physics, Chinese Academy of Sciences, Hefei 230031, China;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Huang, L., Zhang, G. R., Zheng, X. H., Gong, P., Cao, T., & Zeng, Z. (2013). Understanding and tuning the quantum-confinement effect and edge magnetism in zigzag graphene nanoribbon. Journal of Physics: Condensed Matter, 25(5): 055304. doi:10.1088/0953-8984/25/5/055304.


Cite as: https://hdl.handle.net/21.11116/0000-0001-E3AC-D
Abstract
The electronic structure of zigzag graphene nanoribbon (ZGNR) is studied using density functional theory. The mechanisms underlying the quantum-confinement effect and edge magnetism in ZGNR are systematically investigated by combining the simulated results and some useful analytic models. The quantum-confinement effect and the inter-edge superexchange interaction can be tuned by varying the ribbon width, and the spin polarization and direct exchange splitting of the edge states can be tuned by varying their electronic occupations. The two edges of ZGNR can be equally or unequally tuned by charge doping or Li adsorption, respectively. The Li adatom has a site-selective adsorption on ZGNR, and it is a nondestructive and memorable approach to effectively modify the edge states in ZGNR. These systematic understanding and effective tuning of ZGNR electronics presented in this work are helpful for further investigation and application of ZGNR and other magnetic graphene systems. © 2013 IOP Publishing Ltd.