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Cited by 209

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Evolution in Catalyst Morphology Leads to Carbon Nanotube Growth Termination

Kim, Seung Min, Pint, Cary L., Amama, Placidus B., Zakharov, Dmitri N., Hauge, Robert H., Maruyama, Benji, Stach, Eric A.·2010·The Journal of Physical Chemistry Letters

Abstract

A mechanism by which catalyst deactivation occurs during vertically aligned single-walled carbon nanotube (SWNT) growth is demonstrated. We have used both quantitative measurements of nanotube growth rates and ex situ and in situ transmission electron microscopy observations to show that termination of carbon nanotube (CNT) array growth can be intrinsically linked to evolution of the catalyst morphology. Specifically, we find that a combination of both Ostwald ripening and subsequent subsurface diffusion leads to loss of the Fe catalyst, and through direct observations, we correlate this with nanotube growth termination. These observations indicate that careful design of the catalyst and its support − as well as the interaction between the two − is required to maximize nanotube yields.

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Metadata

Authors
Kim, S. M., Pint, C. L., Amama, P. B., Zakharov, D. N., Hauge, R. H., Maruyama, B., & Stach, E. A.
Venue
The Journal of Physical Chemistry Letters
Published
2010-02-22
Volume
1
Issue
6
Pages
918-922
ISSN
1948-7185 (ISSN-L)
OpenAlex
W2049133696
Cited by
209
References
0
FWCI
7.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evolution in Catalyst Morphology Leads to Carbon Nanotube Growth Termination. https://app.cochat.ai/papers/10.1021/jz9004762
The paper
Kim, S. M., Pint, C. L., Amama, P. B., Zakharov, D. N., Hauge, R. H., Maruyama, B., & Stach, E. A. (2010). Evolution in Catalyst Morphology Leads to Carbon Nanotube Growth Termination. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/jz9004762

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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.