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Cited by 586

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Silyl Ether as a Robust and Thermally Stable Dynamic Covalent Motif for Malleable Polymer Design

Nishimura, Yoshio, Chung, Jaeyoon, Muradyan, Hurik, Guan, Zhibin·2017·Journal of the American Chemical Society

Abstract

Here we introduce silyl ether linkage as a novel dynamic covalent motif for dynamic material design. Through introduction of a neighboring amino moiety, we show that the silyl ether exchange rate can be accelerated by almost three orders of magnitude. By incorporating such silyl ether linkages into covalently cross-linked polymer networks, we demonstrate dynamic covalent network polymers displaying both malleability and reprocessability. The malleability of the networks is studied by monitoring stress relaxation at varying temperature, and their topology freezing temperatures are determined. The tunable dynamic properties coupled with the high thermal stability and reprocessability of silyl ether-based networks open doors to many potential applications for this family of materials.

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Crossref · 10.1021/jacs.7b08826

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Metadata

Authors
Nishimura, Y., Chung, J., Muradyan, H., & Guan, Z.
Venue
Journal of the American Chemical Society
Published
2017-10-16
Volume
139
Issue
42
Pages
14881-14884
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2763222969
Cited by
586
References
28
FWCI
20.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Silyl Ether as a Robust and Thermally Stable Dynamic Covalent Motif for Malleable Polymer Design. https://app.cochat.ai/papers/10.1021/jacs.7b08826
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Nishimura, Y., Chung, J., Muradyan, H., & Guan, Z. (2017). Silyl Ether as a Robust and Thermally Stable Dynamic Covalent Motif for Malleable Polymer Design. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.7b08826

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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.