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General Strategies for Nanoparticle Dispersion

Mackay, Michael E., Tuteja, Anish, Duxbury, Phillip M., Hawker, Craig J., Van Horn, Brooke, Guan, Zhibin, Chen, Guanghui, Krishnan, R. S.·2006·Science

Abstract

Traditionally the dispersion of particles in polymeric materials has proven difficult and frequently results in phase separation and agglomeration. We show that thermodynamically stable dispersion of nanoparticles into a polymeric liquid is enhanced for systems where the radius of gyration of the linear polymer is greater than the radius of the nanoparticle. Dispersed nanoparticles swell the linear polymer chains, resulting in a polymer radius of gyration that grows with the nanoparticle volume fraction. It is proposed that this entropically unfavorable process is offset by an enthalpy gain due to an increase in molecular contacts at dispersed nanoparticle surfaces as compared with the surfaces of phase-separated nanoparticles. Even when the dispersed state is thermodynamically stable, it may be inaccessible unless the correct processing strategy is adopted, which is particularly important for the case of fullerene dispersion into linear polymers.

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Metadata

Authors
Mackay, M. E., Tuteja, A., Duxbury, P. M., Hawker, C. J., Van Horn, B., Guan, Z., Chen, G., & Krishnan, R. S.
Venue
Science
Published
2006-03-24
Volume
311
Issue
5768
Pages
1740-1743
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2046449330
Cited by
960
References
0
FWCI
43.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: General Strategies for Nanoparticle Dispersion. https://app.cochat.ai/papers/10.1126/science.1122225
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Mackay, M. E., Tuteja, A., Duxbury, P. M., Hawker, C. J., Van Horn, B., Guan, Z., Chen, G., & Krishnan, R. S. (2006). General Strategies for Nanoparticle Dispersion. Science. https://doi.org/10.1126/science.1122225

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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.