The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Interaction between Metal and Graphene: Dependence on the Layer Number of Graphene
Abstract
The interaction between graphene and metal was investigated by studying the G band splitting in surface-enhanced Raman scattering (SERS) spectra of single-, bi-, and trilayer graphene. The Ag deposition on graphene induced large enhancement of the Raman signal of graphene, indicating SERS of graphene. In particular, the G band was split into two distinct peaks in the SERS spectrum of graphene. The extent of the G band splitting was 13.0 cm(-1) for single-layer, 9.6 cm(-1) for bilayer, and 9.4 cm(-1) for trilayer graphene, whereas the G band in the SERS spectrum of a thick multilayer was not split. The average SERS enhancement factor of the G band was 24 for single-layer, 15 for bilayer, and 10 for trilayer graphene. These results indicate that there is a correlation between SERS enhancement factor and the extent of the G band splitting, and the strongest interaction occurs between Ag and single-layer graphene. Furthermore, the Ag deposition on graphene can induce doping of graphene. The intensity ratio of 2D and G bands (I(2D)/I(G)) decreased after Ag deposition on graphene, indicating doping of graphene. From changes in positions of G and 2D bands after the metal deposition on graphene, Ag deposition induced n-doping of graphene, whereas Au deposition induced p-doping.
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
Two-dimensional atomic crystals
Novoselov, K. S., Jiang, D., Schedin, F., Booth, T. J., Khotkevich, V. V., Morozov, S. V., & Geim, A. K. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502848102 · Cited by 11,788
Self-citation
Cited by
Grigorenko, A. N., Polini, M., & Novoselov, K. S. (2012) · Nature Photonics · doi:10.1038/nphoton.2012.262 · Cited by 3,183
Self-citationGraphene-based materials for catalysis
Machado, B. F., & Serp, P. (2012) · Catal. Sci. Technol. · doi:10.1039/c1cy00361e · Cited by 958
Strong plasmonic enhancement of photovoltage in graphene
Echtermeyer, T. J., Britnell, L., Jasnos, P. K., Lombardo, A., Gorbachev, R. V., Grigorenko, A. N., Geim, A. K., Ferrari, A. C., & Novoselov, K. S. (2011) · Nature Communications · doi:10.1038/ncomms1464 · Cited by 912
Self-citationGraphene based metal and metal oxide nanocomposites: synthesis, properties and their applications
Khan, M., Tahir, M. N., Adil, S. F., Khan, H. U., Siddiqui, M. R. H., Al-warthan, A. A., & Tremel, W. (2015) · Journal of Materials Chemistry A · doi:10.1039/c5ta02240a · Cited by 709
Design, Fabrication, and Mechanism of Nitrogen‐Doped Graphene‐Based Photocatalyst
Bie, C., Yu, H., Cheng, B., Ho, W., Fan, J., & Yu, J. (2021) · Advanced Materials · doi:10.1002/adma.202003521 · Cited by 554
Metadata
- Authors
- Lee, J., Novoselov, K. S., & Shin, H. S.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-12-21
- Volume
- 5
- Issue
- 1
- Pages
- 608-612
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2037003608
- Cited by
- 383
- References
- 1
- FWCI
- 12.05
- 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
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.