The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
General Oriented Formation of Carbon Nanotubes from Metal–Organic Frameworks
Open accessAbstract
Carbon nanotubes (CNTs) are of great interest for many potential applications because of their extraordinary electronic, mechanical and structural properties. However, issues of chaotic staking, high cost and high energy dissipation in the synthesis of CNTs remain to be resolved. Here we develop a facile, general and high-yield strategy for the oriented formation of CNTs from metal-organic frameworks (MOFs) through a low-temperature (as low as 430 °C) pyrolysis process. The selected MOF crystals act as a single precursor for both nanocatalysts and carbon sources. The key to the formation of CNTs is obtaining small nanocatalysts with high activity during the pyrolysis process. This method is successfully extended to obtain various oriented CNT-assembled architectures by modulating the corresponding MOFs, which further homogeneously incorporate heteroatoms into the CNTs. Specifically, nitrogen-doped CNT-assembled hollow structures exhibit excellent performances in both energy conversion and storage. On the basis of experimental analyses and density functional theory simulations, these superior performances are attributed to synergistic effects between ideal components and multilevel structures. Additionally, the appropriate graphitic N doping and the confined metal nanoparticles in CNTs both increase the densities of states near the Fermi level and reduce the work function, hence efficiently enhancing its oxygen reduction activity. The viable synthetic strategy and proposed mechanism will stimulate the rapid development of CNTs in frontier fields.
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
Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
Special points for Brillouin-zone integrations
Monkhorst, H. J., & Pack, J. D. (1976) · Physical Review B · doi:10.1103/physrevb.13.5188 · Cited by 71,721
Recent Advances in Electrocatalysts for Oxygen Reduction Reaction
Shao, M., Chang, Q., Dodelet, J.-P., & Chenitz, R. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00462 · Cited by 3,903
Jiao, Y., Zheng, Y., Davey, K., & Qiao, S.-Z. (2016) · Nature Energy · doi:10.1038/nenergy.2016.130 · Cited by 1,196
Huang, Z.-F., Song, J., Li, K., Tahir, M., Wang, Y.-T., Pan, L., Wang, L., Zhang, X., & Zou, J.-J. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.5b11986 · Cited by 749
Cited by
Jiang, R., Li, L., Sheng, T., Hu, G., Chen, Y., & Wang, L. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b07294 · Cited by 797
Metal–organic frameworks as a platform for clean energy applications
Li, X., Yang, X., Xue, H., Pang, H., & Xu, Q. (2020) · EnergyChem · doi:10.1016/j.enchem.2020.100027 · Cited by 706
Chen, Y., Gao, R., Ji, S., Li, H., Tang, K., Jiang, P., Hu, H., Zhang, Z., Hao, H., Qu, Q., et al. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202012798 · Cited by 650
Self-citationMOF-derived nanohybrids for electrocatalysis and energy storage: current status and perspectives
Zhang, H., Liu, X., Wu, Y., Guan, C., Cheetham, A. K., & Wang, J. (2018) · Chemical Communications · doi:10.1039/c8cc00789f · Cited by 309
Self-citationLiu, D., Li, M., Li, X., Ren, F., Sun, P., & Zhou, L. (2020) · Chemical Engineering Journal · doi:10.1016/j.cej.2019.124008 · Cited by 281
Metadata
- Authors
- Meng, J., Niu, C., Xu, L., Li, J., Liu, X., Wang, X., Wu, Y., Xu, X., Chen, W., Li, Q., Zhu, Z., Zhao, D., & Mai, L.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-06-06
- Volume
- 139
- Issue
- 24
- Pages
- 8212-8221
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2619234202
- Cited by
- 918
- References
- 6
- FWCI
- 45.62
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: General Oriented Formation of Carbon Nanotubes from Metal–Organic Frameworks. https://app.cochat.ai/papers/10.1021/jacs.7b01942
- The paper
- Meng, J., Niu, C., Xu, L., Li, J., Liu, X., Wang, X., Wu, Y., Xu, X., Chen, W., Li, Q., Zhu, Z., Zhao, D., & Mai, L. (2017). General Oriented Formation of Carbon Nanotubes from Metal–Organic Frameworks. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.7b01942
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.