The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Strain enhances the activity of molecular electrocatalysts via carbon nanotube supports
Open accessAbstract
Support-induced strain engineering is useful for modulating the properties of two-dimensional materials. However, controlling strain of planar molecules is technically challenging due to their sub-2 nm lateral size. Additionally, the effect of strain on molecular properties remains poorly understood. Here we show that carbon nanotubes (CNTs) are ideal substrates for inducing optimum properties through molecular curvature. In a tandem-flow electrolyser with monodispersed cobalt phthalocyanine (CoPc) on single-walled CNTs (CoPc/SWCNTs) for CO 2 reduction, we achieve a methanol partial current density of >90 mA cm−2 with >60% selectivity, surpassing wide multiwalled CNTs at 16.6%. We report vibronic and X-ray spectroscopies to unravel the distinct local geometries and electronic structures induced by the strong molecule–support interactions. Grand canonical density functional theory confirms that curved CoPc/SWCNTs improve *CO binding to enable subsequent reduction, whereas wide multiwalled CNTs favour CO desorption. Our results show the important role of SWCNTs beyond catalyst dispersion and electron conduction.
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
Thompson, A. P., Aktulga, H. M., Berger, R., Bolintineanu, D. S., Brown, W. M., Crozier, P. S., in 't Veld, P. J., Kohlmeyer, A., Moore, S. G., Nguyen, T. D., et al. (2022) · Computer Physics Communications · doi:10.1016/j.cpc.2021.108171 · Cited by 12,598
Progress and perspectives of electrochemical CO2 reduction on copper in aqueous electrolyte
Nitopi, S., Bertheussen, E., Scott, S. B., Liu, X., Engstfeld, A. K., Horch, S., Seger, B., Stephens, I. E. L., Chan, K., Hahn, C., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00705 · Cited by 5,223
Advances and challenges in understanding the electrocatalytic conversion of carbon dioxide to fuels
Birdja, Y. Y., Pérez-Gallent, E., Figueiredo, M. C., Göttle, A. J., Calle-Vallejo, F., & Koper, M. T. M. (2019) · Nature Energy · doi:10.1038/s41560-019-0450-y · Cited by 2,747
Electrocatalytic Conversion of Carbon Dioxide to Methane and Methanol on Transition Metal Surfaces
Kuhl, K. P., Hatsukade, T., Cave, E. R., Abram, D. N., Kibsgaard, J., & Jaramillo, T. F. (2014) · Journal of the American Chemical Society · doi:10.1021/ja505791r · Cited by 1,649
Domino electroreduction of CO2 to methanol on a molecular catalyst
Wu, Y., Jiang, Z., Lu, X., Liang, Y., & Wang, H. (2019) · Nature · doi:10.1038/s41586-019-1760-8 · Cited by 1,194
Cited by
Jiang, M., Wang, H., Zhu, M., Luo, X., He, Y., Wang, M., Wu, C., Zhang, L., Li, X., Liao, X., et al. (2024) · Chemical Society Reviews · doi:10.1039/d3cs00857f · Cited by 299
Self-citation
Metadata
- Authors
- Su, J., Musgrave, C. B., Song, Y., Huang, L., Liu, Y., Li, G., Xin, Y., Xiong, P., Li, M. M.-J., Wu, H., Zhu, M., Chen, H. M., Zhang, J., Shen, H., Tang, B. Z., Robert, M., Goddard, W. A., & Ye, R.
- Venue
- Nature Catalysis
- Published
- 2023-08-14
- Volume
- 6
- Issue
- 9
- Pages
- 818-828
- ISSN
- 2520-1158 (ISSN-L)
- OpenAlex
- W4385805408
- Cited by
- 468
- References
- 5
- FWCI
- 21.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Strain enhances the activity of molecular electrocatalysts via carbon nanotube supports. https://app.cochat.ai/papers/10.1038/s41929-023-01005-3
- The paper
- Su, J., Musgrave, C. B., Song, Y., Huang, L., Liu, Y., Li, G., Xin, Y., Xiong, P., Li, M. M.-J., Wu, H., Zhu, M., Chen, H. M., Zhang, J., Shen, H., Tang, B. Z., Robert, M., Goddard, W. A., & Ye, R. (2023). Strain enhances the activity of molecular electrocatalysts via carbon nanotube supports. Nature Catalysis. https://doi.org/10.1038/s41929-023-01005-3
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.