The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Gated silicene as a tunable source of nearly 100% spin-polarized electrons
Open accessAbstract
Silicene is a one-atom-thick two-dimensional crystal of silicon with a hexagonal lattice structure that is related to that of graphene but with atomic bonds that are buckled rather than flat. This buckling confers advantages on silicene over graphene, because it should, in principle, generate both a band gap and polarized spin-states that can be controlled with a perpendicular electric field. Here we use first-principles calculations to show that field-gated silicene possesses two gapped Dirac cones exhibiting nearly 100% spin-polarization, situated at the corners of the Brillouin zone. Using this fact, we propose a design for a silicene-based spin-filter that should enable the spin-polarization of an output current to be switched electrically, without switching external magnetic fields. Our quantum transport calculations indicate that the proposed designs will be highly efficient (nearly 100% spin-polarization) and robust against weak disorder and edge imperfections. We also propose a Y-shaped spin/valley separator that produces spin-polarized current at two output terminals with opposite spins. Silicene is a silicon-based analogue of graphene, but with subtle and potentially useful differences. Wei-Feng Tsai and colleagues show that these differences could be exploited to build electrically-gated silicene devices that generate and control spin-polarized currents with near perfect efficiency.
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Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
Kresse, G., & Furthmüller, J. (1996) · Computational Materials Science · doi:10.1016/0927-0256(96)00008-0 · Cited by 75,638
The electronic properties of graphene
Castro Neto, A. H., Guinea, F., Peres, N. M. R., Novoselov, K. S., & Geim, A. K. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.109 · Cited by 24,803
Spintronics: Fundamentals and applications
Žutić, I., Fabian, J., & Das Sarma, S. (2004) · Reviews of Modern Physics · doi:10.1103/revmodphys.76.323 · Cited by 11,268
Quantum Spin Hall Effect in Graphene
Kane, C. L., & Mele, E. J. (2005) · Physical Review Letters · doi:10.1103/physrevlett.95.226801 · Cited by 8,197
Z 2 Topological Order and the Quantum Spin Hall Effect
Kane, C. L., & Mele, E. J. (2005) · Physical Review Letters · doi:10.1103/physrevlett.95.146802 · Cited by 6,460
Topological insulators with inversion symmetry
Fu, L., & Kane, C. L. (2007) · Physical Review B · doi:10.1103/physrevb.76.045302 · Cited by 4,252
Edge state in graphene ribbons: Nanometer size effect and edge shape dependence
Nakada, K., Fujita, M., Dresselhaus, G., & Dresselhaus, M. S. (1996) · Physical Review B · doi:10.1103/physrevb.54.17954 · Cited by 3,987
Silicene: Compelling Experimental Evidence for Graphenelike Two-Dimensional Silicon
Vogt, P., De Padova, P., Quaresima, C., Avila, J., Frantzeskakis, E., Asensio, M. C., Resta, A., Ealet, B., & Le Lay, G. (2012) · Physical Review Letters · doi:10.1103/physrevlett.108.155501 · Cited by 3,903
Cited by
Colloquium : Topological band theory
Bansil, A., Lin, H., & Das, T. (2016) · Reviews of Modern Physics · doi:10.1103/revmodphys.88.021004 · Cited by 1,587
Self-citation
Metadata
- Authors
- Tsai, W.-F., Huang, C.-Y., Chang, T.-R., Lin, H., Jeng, H.-T., & Bansil, A.
- Venue
- Nature Communications
- Published
- 2013-02-19
- Volume
- 4
- Issue
- 1
- Pages
- 1500-1500
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2009541596
- Cited by
- 451
- References
- 36
- FWCI
- 28.12
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Tsai, W.-F., Huang, C.-Y., Chang, T.-R., Lin, H., Jeng, H.-T., & Bansil, A. (2013). Gated silicene as a tunable source of nearly 100% spin-polarized electrons. Nature Communications. https://doi.org/10.1038/ncomms2525
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