The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Graphene Nanoribbons from Unzipped Carbon Nanotubes: Atomic Structures, Raman Spectroscopy, and Electrical Properties
Open accessAbstract
We investigated the atomic structures, Raman spectroscopic and electrical transport properties of individual graphene nanoribbons (GNRs, widths ~10-30 nm) derived from sonochemical unzipping of multiwalled carbon nanotubes (MWNTs). Aberration-corrected transmission electron microscopy (TEM) revealed a high percentage of two-layer (2 L) GNRs and some single-layer ribbons. The layer-layer stacking angles ranged from 0° to 30° including average chiral angles near 30° (armchair orientation) or 0° (zigzag orientation). A large fraction of GNRs with bent and smooth edges was observed, while the rest showed flat and less smooth edges (roughness ≤1 nm). Polarized Raman spectroscopy probed individual GNRs to reveal D/G ratios and ratios of D band intensities at parallel and perpendicular laser excitation polarization (D(∥)/D(⊥)). The observed spectroscopic trends were used to infer the average chiral angles and edge smoothness of GNRs. Electrical transport and Raman measurements were carried out for individual ribbons to correlate spectroscopic and electrical properties of GNRs.
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
Narrow graphene nanoribbons from carbon nanotubes
Jiao, L., Zhang, L., Wang, X., Diankov, G., & Dai, H. (2009) · Nature · doi:10.1038/nature07919 · Cited by 2,441
Self-citation
Cited by
Graphene synthesis: relationship to applications
Edwards, R. S., & Coleman, K. S. (2013) · Nanoscale · doi:10.1039/c2nr32629a · Cited by 773
Optical absorption in twisted bilayer graphene
Moon, P., & Koshino, M. (2013) · Physical Review B · doi:10.1103/physrevb.87.205404 · Cited by 493
Ballistic to diffusive crossover of heat flow in graphene ribbons
Bae, M.-H., Li, Z., Aksamija, Z., Martin, P. N., Xiong, F., Ong, Z.-Y., Knezevic, I., & Pop, E. (2013) · Nature Communications · doi:10.1038/ncomms2755 · Cited by 332
Zhao, G., Wen, T., Chen, C., & Wang, X. (2012) · RSC Advances · doi:10.1039/c2ra20990j · Cited by 254
Self-citation
Metadata
- Authors
- Xie, L., Wang, H., Jin, C., Wang, X., Jiao, L., Suenaga, K., & Dai, H.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-06-21
- Volume
- 133
- Issue
- 27
- Pages
- 10394-10397
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2090277359
- Cited by
- 177
- References
- 1
- FWCI
- 9.76
- 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
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.
