The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Hierarchical Assembly of Zeolite Nanoparticles into Ordered Macroporous Monoliths Using Core−Shell Building Blocks
Abstract
Latex beads are used as a combined template and porogen in the fabrication of monolithic silica containing a hierarchy of pores. Prefabricated core/shell particles, prepared by the layer-by-layer assembly of zeolite (silicalite) nanoparticles onto spherical latex templates, are assembled into macroscopic close-packed structures. Calcination removes all organic components and causes densification of the inorganic structure producing a macroporous zeolite in which both the pore size and wall thickness can be varied.
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Cites
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Self-citationSynthesis of Macroporous Minerals with Highly Ordered Three-Dimensional Arrays of Spheroidal Voids
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Cited by
Ordered porous materials for emerging applications
Davis, M. E. (2002) · Nature · doi:10.1038/nature00785 · Cited by 5,308
Nanozeolites: Synthesis, Crystallization Mechanism, and Applications
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Hierarchically Structured Zeolites: From Design to Application
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Structuring adsorbents and catalysts by processing of porous powders
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Metadata
- Authors
- Rhodes, K. H., Davis, S. A., Caruso, F., Zhang, B., & Mann, S.
- Venue
- Chemistry of Materials
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-09-23
- Volume
- 12
- Issue
- 10
- Pages
- 2832-2834
- ISSN
- 0897-4756 (ISSN-L)
- 1520-5002
- OpenAlex
- W2018429625
- Cited by
- 306
- References
- 32
- FWCI
- 12.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rhodes, K. H., Davis, S. A., Caruso, F., Zhang, B., & Mann, S. (2000). Hierarchical Assembly of Zeolite Nanoparticles into Ordered Macroporous Monoliths Using Core−Shell Building Blocks. Chemistry of Materials. https://doi.org/10.1021/cm000438y
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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.