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Nanocomposites with Polymer Grafted Nanoparticles
Abstract
A recurring challenge in the field of nanocomposites is to control the spatial distribution of nanoparticles (NPs) in a polymer matrix. This issue is of critical importance since it is now well-established that a specific NP dispersion state is necessary to optimize a desired property of polymer nanocomposites (PNCs). This Perspective focuses on one particular approach to controlling NP spatial dispersion, and hence the properties of polymer-based nanocomposites: the use of polymer-grafted NPs. Novel developments over the past decade in synthesis techniques allow us to controllably functionalize NPs with polymer chains. This has ignited considerable interest in this field, leading to significant advances in creating nanocomposites with tunable physical properties. We begin by briefly outlining the various synthetic strategies for functionalizing NPs and then discuss various methods for controllably dispersing them in a polymer matrix. The consequences of having states with controlled NP dispersion on nanocomposite properties, primarily the mechanical and optical properties, will then be discussed. In every section of this Perspective, we have an explicit discussion of unresolved issues and critical questions which need to be addressed for continuing progress, especially as it relates to current and potential applications of this class of materials.
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Synthesis of Binary Polymer Brushes via Two-Step Reverse Atom Transfer Radical Polymerization
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Long, D., & Sotta, P. (2007) · Rheologica Acta · doi:10.1007/s00397-007-0187-6 · Cited by 55
Understanding Ligand Distributions in Modified Particle and Particlelike Systems
Hakem, I. F., Leech, A. M., Johnson, J. D., Donahue, S. J., Walker, J. P., & Bockstaller, M. R. (2010) · Journal of the American Chemical Society · doi:10.1021/ja107139c · Cited by 55
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Photoinitiated Synthesis of Mixed Polymer Brushes of Polystyrene and Poly(methyl methacrylate)
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Zoppe, J. O., Ataman, N. C., Mocny, P., Wang, J., Moraes, J., & Klok, H.-A. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00314 · Cited by 1,046
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Hui, C. M., Pietrasik, J., Schmitt, M., Mahoney, C., Choi, J., Bockstaller, M. R., & Matyjaszewski, K. (2014) · Chemistry of Materials · doi:10.1021/cm4023634 · Cited by 367
Topologically Induced Heterogeneity in Gradient Copolymer Brush Particle Materials
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Metadata
- Authors
- Kumar, S. K., Jouault, N., Benicewicz, B., & Neely, T.
- Venue
- Macromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-04-23
- Volume
- 46
- Issue
- 9
- Pages
- 3199-3214
- ISSN
- 0024-9297 (ISSN-L)
- 1520-5835
- OpenAlex
- W2325806896
- Cited by
- 772
- References
- 139
- FWCI
- 50.29
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
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.
