The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Perfectly Conducting Channel and Universality Crossover in Disordered Graphene Nanoribbons
Open accessAbstract
The band structure of graphene ribbons with zigzag edges have two valleys well separated in momentum space, related to the two Dirac points of the graphene spectrum. The propagating modes in each valley contain a single chiral mode originating from a partially flat band at the band center. This feature gives rise to a perfectly conducting channel in the disordered system, if the impurity scattering does not connect the two valleys, i.e., for long-range impurity potentials. Ribbons with short-range impurity potentials, however, through intervalley scattering display ordinary localization behavior. The two regimes belong to different universality classes: unitary for long-range impurities and orthogonal for short-range impurities.
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
Phase Analysis of Quantum Oscillations in Graphite
Luk’yanchuk, I. A., & Kopelevich, Y. (2004) · Physical Review Letters · doi:10.1103/physrevlett.93.166402 · Cited by 264
Cited by
Evers, F., & Mirlin, A. D. (2008) · Reviews of Modern Physics · doi:10.1103/revmodphys.80.1355 · Cited by 2,092
Thermal conductivity of graphene nanoribbons
Guo, Z., Zhang, D., & Gong, X.-G. (2009) · Applied Physics Letters · doi:10.1063/1.3246155 · Cited by 450
Electronic states of graphene nanoribbons and analytical solutions
Wakabayashi, K., Sasaki, K.-I., Nakanishi, T., & Enoki, T. (2010) · Science and Technology of Advanced Materials · doi:10.1088/1468-6996/11/5/054504 · Cited by 420
Self-citationReduced graphene oxide as a catalyst for hydrogenation of nitrobenzene at room temperature
Gao, Y., Ma, D., Wang, C., Guan, J., & Bao, X. (2011) · Chem. Commun. · doi:10.1039/c0cc04420b · Cited by 419
Localized edge states in two-dimensional topological insulators: Ultrathin Bi films
Wada, M., Murakami, S., Freimuth, F., & Bihlmayer, G. (2011) · Physical Review B · doi:10.1103/physrevb.83.121310 · Cited by 368
Metadata
- Authors
- Wakabayashi, K., Takane, Y., & Sigrist, M.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2007-07-16
- Volume
- 99
- Issue
- 3
- Pages
- 036601-036601
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2039823746
- Cited by
- 207
- References
- 1
- FWCI
- 10.42
- Type
- journal article
- Language
- en
- Open access
- green
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.