The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Uniaxial Strain on Graphene: Raman Spectroscopy Study and Band-Gap Opening
Abstract
Graphene was deposited on a transparent and flexible substrate, and tensile strain up to approximately 0.8% was loaded by stretching the substrate in one direction. Raman spectra of strained graphene show significant red shifts of 2D and G band (-27.8 and -14.2 cm(-1) per 1% strain, respectively) because of the elongation of the carbon-carbon bonds. This indicates that uniaxial strain has been successfully applied on graphene. We also proposed that, by applying uniaxial strain on graphene, tunable band gap at K point can be realized. First-principle calculations predicted a band-gap opening of approximately 300 meV for graphene under 1% uniaxial tensile strain. The strained graphene provides an alternative way to experimentally tune the band gap of graphene, which would be more efficient and more controllable than other methods that are used to open the band gap in graphene. Moreover, our results suggest that the flexible substrate is ready for such a strain process, and Raman spectroscopy can be used as an ultrasensitive method to determine the strain.
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
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Biased Bilayer Graphene: Semiconductor with a Gap Tunable by the Electric Field Effect
Castro, E. V., Novoselov, K. S., Morozov, S. V., Peres, N. M. R., dos Santos, J. M. B. L., Nilsson, J., Guinea, F., Geim, A. K., & Neto, A. H. C. (2007) · Physical Review Letters · doi:10.1103/physrevlett.99.216802 · Cited by 2,033 · cited 1×
“Different attempts have been made by researchers, such as patterning graphene into nanoribbon,(3) forming graphene quantum dots,(2) making use of multilayer graphene sheets and applying an external electrical field.(4) According to the carbon nanotubes (CNTs) study, the strain will dramatically change the electronic s…”
Method
Cited by
Raman spectroscopy as a versatile tool for studying the properties of graphene
Ferrari, A. C., & Basko, D. M. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2013.46 · Cited by 7,405
Energy gaps and a zero-field quantum Hall effect in graphene by strain engineering
Guinea, F., Katsnelson, M. I., & Geim, A. K. (2010) · Nature Physics · doi:10.1038/nphys1420 · Cited by 1,913
Tight-binding approach to uniaxial strain in graphene
Pereira, V. M., Castro Neto, A. H., & Peres, N. M. R. (2009) · Physical Review B · doi:10.1103/physrevb.80.045401 · Cited by 1,350
Graphene for Controlled and Accelerated Osteogenic Differentiation of Human Mesenchymal Stem Cells
Nayak, T. R., Andersen, H., Makam, V. S., Khaw, C., Bae, S., Xu, X., Ee, P.-L. R., Ahn, J.-H., Hong, B. H., Pastorin, G., et al. (2011) · ACS Nano · doi:10.1021/nn200500h · Cited by 916
Two-dimensional transistors beyond graphene and TMDCs
Liu, Y., Duan, X., Huang, Y., & Duan, X. (2018) · Chemical Society Reviews · doi:10.1039/c8cs00318a · Cited by 474
Metadata
- Authors
- Ni, Z. H., Yu, T., Lu, Y. H., Wang, Y. Y., Feng, Y. P., & Shen, Z. X.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-10-30
- Volume
- 2
- Issue
- 11
- Pages
- 2301-2305
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2093603993
- Cited by
- 1,627
- References
- 4
- FWCI
- 25.43
- 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.