The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Graphene Valley Filter Using a Line Defect
Open accessAbstract
With its two degenerate valleys at the Fermi level, the band structure of graphene provides the opportunity to develop unconventional electronic applications. Herein, we show that electron and hole quasiparticles in graphene can be filtered according to which valley they occupy without the need to introduce confinement. The proposed valley filter is based on scattering off a recently observed line defect in graphene. Quantum transport calculations show that the line defect is semitransparent and that quasiparticles arriving at the line defect with a high angle of incidence are transmitted with a valley polarization near 100%.
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
Superior Thermal Conductivity of Single-Layer Graphene
Balandin, A. A., Ghosh, S., Bao, W., Calizo, I., Teweldebrhan, D., Miao, F., & Lau, C. N. (2008) · Nano Letters · doi:10.1021/nl0731872 · Cited by 13,823
Slonczewski, J. C., & Weiss, P. R. (1958) · Physical Review · doi:10.1103/physrev.109.272 · Cited by 1,647
Cited by
Spin and pseudospins in layered transition metal dichalcogenides
Xu, X., Yao, W., Xiao, D., & Heinz, T. F. (2014) · Nature Physics · doi:10.1038/nphys2942 · Cited by 2,855
Gated silicene as a tunable source of nearly 100% spin-polarized electrons
Tsai, W.-F., Huang, C.-Y., Chang, T.-R., Lin, H., Jeng, H.-T., & Bansil, A. (2013) · Nature Communications · doi:10.1038/ncomms2525 · Cited by 451
Kariyado, T., & Ogata, M. (2011) · Journal of the Physical Society of Japan · doi:10.1143/jpsj.80.083704 · Cited by 93
Metadata
- Authors
- Gunlycke, D., & White, C. T.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2011-03-28
- Volume
- 106
- Issue
- 13
- Pages
- 136806-136806
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2027815102
- Cited by
- 498
- References
- 2
- FWCI
- 23.55
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Graphene Valley Filter Using a Line Defect. https://app.cochat.ai/papers/10.1103/physrevlett.106.136806
- The paper
- Gunlycke, D., & White, C. T. (2011). Graphene Valley Filter Using a Line Defect. Physical Review Letters. https://doi.org/10.1103/physrevlett.106.136806
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.