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Cited by 803

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Synthesis of Self-Pillared Zeolite Nanosheets by Repetitive Branching

Open access
Zhang, Xueyi, Liu, Dongxia, Xu, Dandan, Asahina, Shunsuke, Cychosz, Katie A., Agrawal, Kumar Varoon, Al Wahedi, Yasser, Bhan, Aditya, Al Hashimi, Saleh, Terasaki, Osamu, Thommes, Matthias, Tsapatsis, Michael·2012·Science

Abstract

Go with the Flow: Effective absorption or filtration can be achieved by having a material with multiple levels of porosity, so that the main flow can occur in the larger channels, while smaller passageways can be used to sequester a secondary material. It can be difficult to make these materials because the pores need to be different sizes, but still fully connected to each other. Zhang et al. (p. 1684 ) show that a hierarchical zeolite can be made through a simple process using a single structure-directing agent that causes repetitive branching. This leads to a material with improved transport and catalytic properties.

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Crossref · 10.1126/science.1221111

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Metadata

Authors
Zhang, X., Liu, D., Xu, D., Asahina, S., Cychosz, K. A., Agrawal, K. V., Al Wahedi, Y., Bhan, A., Al Hashimi, S., Terasaki, O., Thommes, M., & Tsapatsis, M.
Venue
Science
Published
2012-06-29
Volume
336
Issue
6089
Pages
1684-1687
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1998193846
Cited by
803
References
30
FWCI
29.54
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Synthesis of Self-Pillared Zeolite Nanosheets by Repetitive Branching. https://app.cochat.ai/papers/10.1126/science.1221111
The paper
Zhang, X., Liu, D., Xu, D., Asahina, S., Cychosz, K. A., Agrawal, K. V., Al Wahedi, Y., Bhan, A., Al Hashimi, S., Terasaki, O., Thommes, M., & Tsapatsis, M. (2012). Synthesis of Self-Pillared Zeolite Nanosheets by Repetitive Branching. Science. https://doi.org/10.1126/science.1221111

Data sources

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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.