The DOI matches its Crossref record.
Selective Growth of Well-Aligned Semiconducting Single-Walled Carbon Nanotubes
Abstract
High-density arrays of perfectly aligned single-walled carbon nanotubes (SWNTs) consisting almost exclusively of semiconducting nanotubes were grown on ST-cut single crystal quartz substrates. Raman spectroscopy together with electrical measurements of field effect transistors (FETs) fabricated from the as-grown samples showed that over 95% of the nanotubes in the arrays are semiconducting. The mechanism of selective growth was explored. It is proposed that introducing methanol in the growth process, combined with the interaction between the SWNTs and the quartz lattice, leads to the selective growth of aligned semiconducting nanotubes. Such a high density of horizontally aligned semiconducting SWNTs can be readily used in high current nanoFETs and sensors. This method demonstrates great promise to solve one of the most difficult problems which limits application of carbon nanotubes in nanoelectronicsthe coexistence of metallic and semiconducting nanotubes in samples produced by most, if not all, growth methods.
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
Cited by
A review of chemical vapour deposition of graphene on copper
Mattevi, C., Kim, H., & Chhowalla, M. (2011) · J. Mater. Chem. · doi:10.1039/c0jm02126a · Cited by 1,452
Zhang, A., & Lieber, C. M. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00608 · Cited by 621
Rao, R., Pint, C. L., Islam, A. E., Weatherup, R. S., Hofmann, S., Meshot, E. R., Wu, F., Zhou, C., Dee, N., Amama, P. B., et al. (2018) · ACS Nano · doi:10.1021/acsnano.8b06511 · Cited by 588
Self-citationCurrent understanding of the growth of carbon nanotubes in catalytic chemical vapour deposition
Jourdain, V., & Bichara, C. (2013) · Carbon · doi:10.1016/j.carbon.2013.02.046 · Cited by 577
Recent Progress on the Growth Mechanism of Carbon Nanotubes: A Review
Tessonnier, J., & Su, D. S. (2011) · ChemSusChem · doi:10.1002/cssc.201100175 · Cited by 431
Printed Carbon Nanotube Electronics and Sensor Systems
Chen, K., Gao, W., Emaminejad, S., Kiriya, D., Ota, H., Nyein, H. Y. Y., Takei, K., & Javey, A. (2016) · Advanced Materials · doi:10.1002/adma.201504958 · Cited by 425
Carbon Nanotube Mass Production: Principles and Processes
Zhang, Q., Huang, J., Zhao, M., Qian, W., & Wei, F. (2011) · ChemSusChem · doi:10.1002/cssc.201100177 · Cited by 389
Lu, M.-M., Cao, M.-S., Chen, Y.-H., Cao, W.-Q., Liu, J., Shi, H.-L., Zhang, D.-Q., Wang, W.-Z., & Yuan, J. (2015) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5b05595 · Cited by 370
Self-citationCarbon nanotube electronics: recent advances
Peng, L.-M., Zhang, Z., & Wang, S. (2014) · Materials Today · doi:10.1016/j.mattod.2014.07.008 · Cited by 347
Magical Allotropes of Carbon: Prospects and Applications
Tiwari, S. K., Kumar, V., Huczko, A., Oraon, R., Adhikari, A. D., & Nayak, G. C. (2016) · Critical Reviews in Solid State and Materials Sciences · doi:10.1080/10408436.2015.1127206 · Cited by 320
Carbon nanotube electronics – moving forward
Wang, C., Takei, K., Takahashi, T., & Javey, A. (2013) · Chem. Soc. Rev. · doi:10.1039/c2cs35325c · Cited by 305
Metadata
- Authors
- Ding, L., Tselev, A., Wang, J., Yuan, D., Chu, H., McNicholas, T. P., Li, Y., & Liu, J.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-01-20
- Volume
- 9
- Issue
- 2
- Pages
- 800-805
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2112448497
- Cited by
- 467
- References
- 0
- FWCI
- 28.55
- 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.