The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Electronic structure of silicon-based nanostructures
Open accessAbstract
We have developed a unifying tight-binding Hamiltonian that can account for the electronic properties of recently proposed Si-based nanostructures, namely, Si graphene-like sheets and Si nanotubes. We considered the $s{p}^{3}{s}^{*}$ and $s{p}^{3}$ models up to first- and second-nearest neighbors, respectively. Our results show that the Si graphene-like sheets considered here are metals or zero-gap semiconductors, and that the corresponding Si nanotubes follow the so-called Hamada's [Phys. Rev. Lett. 68, 1579 (1992)] rule. Comparison to a recent ab initio calculation is made.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Two-dimensional gas of massless Dirac fermions in graphene
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Katsnelson, M. I., Grigorieva, I. V., Dubonos, S. V., & Firsov, A. A. (2005) · Nature · doi:10.1038/nature04233 · Cited by 21,611
Electronic properties of disordered two-dimensional carbon
Peres, N. M. R., Guinea, F., & Castro Neto, A. H. (2006) · Physical Review B · doi:10.1103/physrevb.73.125411 · Cited by 1,445
Cited by
Graphene-Like Two-Dimensional Materials
Xu, M., Liang, T., Shi, M., & Chen, H. (2013) · Chemical Reviews · doi:10.1021/cr300263a · Cited by 4,531
Nanomaterials: a review of synthesis methods, properties, recent progress, and challenges
Baig, N., Kammakakam, I., & Falath, W. (2021) · Materials Advances · doi:10.1039/d0ma00807a · Cited by 3,262
Tunable Bandgap in Silicene and Germanene
Ni, Z., Liu, Q., Tang, K., Zheng, J., Zhou, J., Qin, R., Gao, Z., Yu, D., & Lu, J. (2012) · Nano Letters · doi:10.1021/nl203065e · Cited by 1,451
Liu, C.-C., Jiang, H., & Yao, Y. (2011) · Physical Review B · doi:10.1103/physrevb.84.195430 · Cited by 1,367
Rise of silicene: A competitive 2D material
Zhao, J., Liu, H., Yu, Z., Quhe, R., Zhou, S., Wang, Y., Liu, C. C., Zhong, H., Han, N., Lu, J., et al. (2016) · Progress in Materials Science · doi:10.1016/j.pmatsci.2016.04.001 · Cited by 891
Metadata
- Authors
- Guzmán-Verri, G. G., & Lew Yan Voon, L. C.
- Venue
- Physical Review B
- Publisher
- American Physical Society (APS)
- Published
- 2007-08-30
- Volume
- 76
- Issue
- 7
- ISSN
- 1098-0121 (ISSN-L)
- 1550-235X
- OpenAlex
- W2055489095
- Cited by
- 1,030
- References
- 2
- FWCI
- 2.93
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.