The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ion Implantation of Graphene—Toward IC Compatible Technologies
Abstract
Doping of graphene via low energy ion implantation could open possibilities for fabrication of nanometer-scale patterned graphene-based devices as well as for graphene functionalization compatible with large-scale integrated semiconductor technology. Using advanced electron microscopy/spectroscopy methods, we show for the first time directly that graphene can be doped with B and N via ion implantation and that the retention is in good agreement with predictions from calculation-based literature values. Atomic resolution high-angle dark field imaging (HAADF) combined with single-atom electron energy loss (EEL) spectroscopy reveals that for sufficiently low implantation energies ions are predominantly substitutionally incorporated into the graphene lattice with a very small fraction residing in defect-related sites.
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
Superior Thermal Conductivity of Single-Layer Graphene
Balandin, A. A., Ghosh, S., Bao, W., Calizo, I., Teweldebrhan, D., Miao, F., & Lau, C. N. (2008) · Nano Letters · doi:10.1021/nl0731872 · Cited by 13,823
Cited by
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
Lin, Y., Dumcenco, D. O., Komsa, H., Niimi, Y., Krasheninnikov, A. V., Huang, Y., & Suenaga, K. (2014) · Advanced Materials · doi:10.1002/adma.201304985 · Cited by 296
Hong, J., Jin, C., Yuan, J., & Zhang, Z. (2017) · Advanced Materials · doi:10.1002/adma.201606434 · Cited by 293
Low Energy Implantation into Transition-Metal Dichalcogenide Monolayers to Form Janus Structures
Lin, Y.-C., Liu, C., Yu, Y., Zarkadoula, E., Yoon, M., Puretzky, A. A., Liang, L., Kong, X., Gu, Y., Strasser, A., et al. (2020) · ACS Nano · doi:10.1021/acsnano.9b10196 · Cited by 284
Atomic Structure and Dynamics of Metal Dopant Pairs in Graphene
He, Z., He, K., Robertson, A. W., Kirkland, A. I., Kim, D., Ihm, J., Yoon, E., Lee, G.-D., & Warner, J. H. (2014) · Nano Letters · doi:10.1021/nl500682j · Cited by 264
Metadata
- Authors
- Bangert, U., Pierce, W., Kepaptsoglou, D. M., Ramasse, Q., Zan, R., Gass, M. H., Van den Berg, J. A., Boothroyd, C. B., Amani, J., & Hofsäss, H.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-10-01
- Volume
- 13
- Issue
- 10
- Pages
- 4902-4907
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2014504491
- Cited by
- 213
- References
- 1
- FWCI
- 7.99
- 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.
