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Cited by 889

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

High-Strength Chemical-Vapor–Deposited Graphene and Grain Boundaries

Lee, Gwan-Hyoung, Cooper, Ryan C., An, Sung Joo, Lee, Sunwoo, van der Zande, Arend, Petrone, Nicholas, Hammerberg, Alexandra G., Lee, Changgu, Crawford, Bryan, Oliver, Warren, Kysar, Jeffrey W., Hone, James·2013·Science

Abstract

Graphene Staying Strong: Although exfoliated graphene can be extremely strong, it is produced on too small a scale for materials application. Graphene can be produced on a more practical scale by chemical vapor deposition, but the presence of grain boundaries between crystallites apparently weakens the material. Lee et al. (p. 1073 ) show that postprocessing steps during the removal of the graphene sheets can oxidize the grain boundaries and weaken them. If these steps are avoided, the material is comparable in strength to exfoliated graphene.

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Crossref · 10.1126/science.1235126

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Metadata

Authors
Lee, G.-H., Cooper, R. C., An, S. J., Lee, S., van der Zande, A., Petrone, N., Hammerberg, A. G., Lee, C., Crawford, B., Oliver, W., Kysar, J. W., & Hone, J.
Venue
Science
Published
2013-05-31
Volume
340
Issue
6136
Pages
1073-1076
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2094948497
Cited by
889
References
22
FWCI
44.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High-Strength Chemical-Vapor–Deposited Graphene and Grain Boundaries. https://app.cochat.ai/papers/10.1126/science.1235126
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Lee, G.-H., Cooper, R. C., An, S. J., Lee, S., van der Zande, A., Petrone, N., Hammerberg, A. G., Lee, C., Crawford, B., Oliver, W., Kysar, J. W., & Hone, J. (2013). High-Strength Chemical-Vapor–Deposited Graphene and Grain Boundaries. Science. https://doi.org/10.1126/science.1235126

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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.