The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Topological Frustration in Graphene Nanoflakes: Magnetic Order and Spin Logic Devices
Open accessAbstract
Magnetic order in graphene-related structures can arise from size effects or from topological frustration. We introduce a rigorous classification scheme for the types of finite graphene structures (nanoflakes) which lead to large net spin or to antiferromagnetic coupling between groups of electron spins. Based on this scheme, we propose specific examples of structures that can serve as the fundamental (NOR and NAND) logic gates for the design of high-density ultrafast spintronic devices. We demonstrate, using ab initio electronic structure calculations, that these gates can in principle operate at room temperature with very low and correctable error rates.
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
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
Efficient pseudopotentials for plane-wave calculations
Troullier, N., & Martins, J. L. (1991) · Physical Review B · doi:10.1103/physrevb.43.1993 · Cited by 16,148
The SIESTA method for ab initio order-N materials simulation
Soler, J. M., Artacho, E., Gale, J. D., García, A., Junquera, J., Ordejón, P., & Sánchez-Portal, D. (2002) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/14/11/302 · Cited by 12,218
Spintronics: A Spin-Based Electronics Vision for the Future
Wolf, S. A., Awschalom, D. D., Buhrman, R. A., Daughton, J. M., von Molnár, S., Roukes, M. L., Chtchelkanova, A. Y., & Treger, D. M. (2001) · Science · doi:10.1126/science.1065389 · Cited by 11,442
Irreversibility and heat generation in the computing process
Landauer, R. (1961) · IBM Journal of Research and Development · doi:10.1147/rd.53.0183 · Cited by 4,980
Half-metallic graphene nanoribbons
Son, Y.-W., Cohen, M. L., & Louie, S. G. (2006) · Nature · doi:10.1038/nature05180 · Cited by 4,197
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
The emergence of spin electronics in data storage
Chappert, C., Fert, A., & Van Dau, F. N. (2007) · Nature Materials · doi:10.1038/nmat2024 · Cited by 2,546
Electronic spin transport and spin precession in single graphene layers at room temperature
Tombros, N., Jozsa, C., Popinciuc, M., Jonkman, H. T., & van Wees, B. J. (2007) · Nature · doi:10.1038/nature06037 · Cited by 2,369
Chaotic Dirac Billiard in Graphene Quantum Dots
Ponomarenko, L. A., Schedin, F., Katsnelson, M. I., Yang, R., Hill, E. W., Novoselov, K. S., & Geim, A. K. (2008) · Science · doi:10.1126/science.1154663 · Cited by 2,313
Cited by
Electronic Structure of Atomically Precise Graphene Nanoribbons
Ruffieux, P., Cai, J., Plumb, N. C., Patthey, L., Prezzi, D., Ferretti, A., Molinari, E., Feng, X., Müllen, K., Pignedoli, C. A., et al. (2012) · ACS Nano · doi:10.1021/nn3021376 · Cited by 494
On-Surface Synthesis and Characterization of [7]Triangulene Quantum Ring
Su, J., Fan, W., Mutombo, P., Peng, X., Song, S., Ondráček, M., Golub, P., Brabec, J., Veis, L., Telychko, M., et al. (2021) · Nano Letters · doi:10.1021/acs.nanolett.0c04627 · Cited by 103
Metadata
- Authors
- Wang, W. L., Yazyev, O. V., Meng, S., & Kaxiras, E.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2009-04-13
- Volume
- 102
- Issue
- 15
- Pages
- 157201-157201
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2010792827
- Cited by
- 288
- References
- 29
- FWCI
- 8.29
- 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: Topological Frustration in Graphene Nanoflakes: Magnetic Order and Spin Logic Devices. https://app.cochat.ai/papers/10.1103/physrevlett.102.157201
- The paper
- Wang, W. L., Yazyev, O. V., Meng, S., & Kaxiras, E. (2009). Topological Frustration in Graphene Nanoflakes: Magnetic Order and Spin Logic Devices. Physical Review Letters. https://doi.org/10.1103/physrevlett.102.157201
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.