The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Grains and grain boundaries in single-layer graphene atomic patchwork quilts
Open accessAbstract
The properties of polycrystalline materials are often dominated by the size of their grains and by the atomic structure of their grain boundaries. These effects should be especially pronounced in two-dimensional materials, where even a line defect can divide and disrupt a crystal. These issues take on practical significance in graphene, which is a hexagonal, two-dimensional crystal of carbon atoms. Single-atom-thick graphene sheets can now be produced by chemical vapour deposition on scales of up to metres, making their polycrystallinity almost unavoidable. Theoretically, graphene grain boundaries are predicted to have distinct electronic, magnetic, chemical and mechanical properties that strongly depend on their atomic arrangement. Yet because of the five-order-of-magnitude size difference between grains and the atoms at grain boundaries, few experiments have fully explored the graphene grain structure. Here we use a combination of old and new transmission electron microscopy techniques to bridge these length scales. Using atomic-resolution imaging, we determine the location and identity of every atom at a grain boundary and find that different grains stitch together predominantly through pentagon–heptagon pairs. Rather than individually imaging the several billion atoms in each grain, we use diffraction-filtered imaging to rapidly map the location, orientation and shape of several hundred grains and boundaries, where only a handful have been previously reported. The resulting images reveal an unexpectedly small and intricate patchwork of grains connected by tilt boundaries. By correlating grain imaging with scanning probe and transport measurements, we show that these grain boundaries severely weaken the mechanical strength of graphene membranes but do not as drastically alter their electrical properties. These techniques open a new window for studies on the structure, properties and control of grains and grain boundaries in graphene and other two-dimensional materials.
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
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
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
Xie, J., Zhang, J., Li, S., Grote, F., Zhang, X., Zhang, H., Wang, R., Lei, Y., Pan, B., & Xie, Y. (2013) · Journal of the American Chemical Society · doi:10.1021/ja408329q · Cited by 2,350
Wang, D., Xin, H. L., Hovden, R., Wang, H., Yu, Y., Muller, D. A., DiSalvo, F. J., & Abruña, H. D. (2013) · Nature Materials · doi:10.1038/nmat3458 · Cited by 2,082
Self-citationElectrochemistry of Graphene and Related Materials
Ambrosi, A., Chua, C. K., Bonanni, A., & Pumera, M. (2014) · Chemical Reviews · doi:10.1021/cr500023c · Cited by 1,208
Graphene and boron nitride lateral heterostructures for atomically thin circuitry
Levendorf, M. P., Kim, C.-J., Brown, L., Huang, P. Y., Havener, R. W., Muller, D. A., & Park, J. (2012) · Nature · doi:10.1038/nature11408 · Cited by 855
Self-citationThermal Conductivity and Phonon Transport in Suspended Few-Layer Hexagonal Boron Nitride
Jo, I., Pettes, M. T., Kim, J., Watanabe, K., Taniguchi, T., Yao, Z., & Shi, L. (2013) · Nano Letters · doi:10.1021/nl304060g · Cited by 770
Metadata
- Authors
- Huang, P. Y., Ruiz-Vargas, C. S., van der Zande, A. M., Whitney, W. S., Levendorf, M. P., Kevek, J. W., Garg, S., Alden, J. S., Hustedt, C. J., Zhu, Y., Park, J., McEuen, P. L., & Muller, D. A.
- Venue
- Nature
- Published
- 2011-01
- Volume
- 469
- Issue
- 7330
- Pages
- 389-392
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2119648600
- Cited by
- 2,013
- References
- 2
- FWCI
- 95.90
- 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: Grains and grain boundaries in single-layer graphene atomic patchwork quilts. https://app.cochat.ai/papers/10.1038/nature09718
- The paper
- Huang, P. Y., Ruiz-Vargas, C. S., van der Zande, A. M., Whitney, W. S., Levendorf, M. P., Kevek, J. W., Garg, S., Alden, J. S., Hustedt, C. J., Zhu, Y., Park, J., McEuen, P. L., & Muller, D. A. (2011). Grains and grain boundaries in single-layer graphene atomic patchwork quilts. Nature. https://doi.org/10.1038/nature09718
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.