The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Diffusion, Coalescence, and Reconstruction of Vacancy Defects in Graphene Layers
Abstract
Diffusion, coalescence, and reconstruction of vacancy defects in graphene layers are investigated by tight-binding molecular dynamics (TBMD) simulations and by first principles total energy calculations. It is observed in the TBMD simulations that two single vacancies coalesce into a 5-8-5 double vacancy at the temperature of 3000 K, and it is further reconstructed into a new defect structure, the 555-777 defect, by the Stone-Wales type transformation at higher temperatures. First principles calculations confirm that the 555-777 defect is energetically much more stable than two separated single vacancies, and the energy of the 555-777 defect is also slightly lower than that of the 5-8-5 double vacancy. In TBMD simulation, it is also found that the four single vacancies reconstruct into two collective 555-777 defects which is the unit for the hexagonal haeckelite structure proposed by Terrones et al. [Phys. Rev. Lett. 84, 1716 (2000)].
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
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Cited by
Zeng, M., Xiao, Y., Liu, J., Yang, K., & Fu, L. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00633 · Cited by 574
Kou, R., Shao, Y., Mei, D., Nie, Z., Wang, D., Wang, C., Viswanathan, V. V., Park, S., Aksay, I. A., Lin, Y., et al. (2011) · Journal of the American Chemical Society · doi:10.1021/ja107719u · Cited by 421
Self-citationKe, X., Bittencourt, C., & Van Tendeloo, G. (2015) · Beilstein Journal of Nanotechnology · doi:10.3762/bjnano.6.158 · Cited by 45
Metadata
- Authors
- Lee, G.-D., Wang, C. Z., Yoon, E., Hwang, N.-M., Kim, D.-Y., & Ho, K. M.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2005-11-08
- Volume
- 95
- Issue
- 20
- Pages
- 205501-205501
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2087665867
- Cited by
- 530
- References
- 1
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- closed
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: Diffusion, Coalescence, and Reconstruction of Vacancy Defects in Graphene Layers. https://app.cochat.ai/papers/10.1103/physrevlett.95.205501
- The paper
- Lee, G.-D., Wang, C. Z., Yoon, E., Hwang, N.-M., Kim, D.-Y., & Ho, K. M. (2005). Diffusion, Coalescence, and Reconstruction of Vacancy Defects in Graphene Layers. Physical Review Letters. https://doi.org/10.1103/physrevlett.95.205501
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.
