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Cited by 388

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Small-Molecule Dynamics and Mechanisms Underlying the Macroscopic Mechanical Properties of Coordinatively Cross-Linked Polymer Networks

Yount, Wayne C., Loveless, David M., Craig, Stephen L.·2005·Journal of the American Chemical Society

Abstract

Specific metal-ligand coordination between bis-Pd(II) and Pt(II) organometallic cross-linkers and poly(4-vinylpyridine) in DMSO defines a three-dimensional associative polymer network. Frequency-dependent dynamic mechanical moduli of a series of four different bulk materials, measured across several decades of oscillatory strain rates, are found to be quantitatively related through the pyridine exchange rates measured on model Pd(II) and Pt(II) complexes. Importantly, the mechanism of ligand exchange in the networks is found to be the same solvent-assisted pathway observed in the model complexes, and so the bulk mechanical properties are determined by relaxations that occur when the cross-links are dissociated from the polymer backbone. It is how often the cross-links dissociate, independently of how long they remain dissociated, that determines the bulk mechanical properties. The quantitative relationship between bulk materials properties and the kinetics and mechanisms observed in model compounds holds promise for the rational, molecular design of materials with tailored mechanical properties.

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Crossref · 10.1021/ja054298a

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Metadata

Authors
Yount, W. C., Loveless, D. M., & Craig, S. L.
Venue
Journal of the American Chemical Society
Published
2005-09-22
Volume
127
Issue
41
Pages
14488-14496
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2014313640
Cited by
388
References
18
FWCI
6.95
Type
journal article
Language
en
Open access
closed

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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.