The DOI matches its Crossref record; 202 of the 202 references it cites were found in a registry or an index.
Dynamics of polymer segments, polymer chains, and nanoparticles in polymer nanocomposite melts: A review
Open accessAbstract
Abstract The addition of nanoparticles (NPs) to a polymer matrix, forming a polymer nanocomposite (PNC), is known to alter the microscopic dynamic processes of both species which leads to unique macroscopic material properties of the PNC. Because the NPs and polymers have overlapping characteristic length, time, and energy scales, the interactions within these materials are complex and the dynamics are interrelated. In this review, we present an overview of experimental, simulation, and theoretical results that probe multi-scale polymer and nanoparticle dynamics in polymer nanocomposites and navigate the dense parameter space presented by these multicomponent systems. Although a variety of PNC systems are mentioned, we focus this discussion on linear thermoplastics filled with hard spherical or cylindrical NPs in the melt state. We begin by introducing PNCs, the dynamic processes within them, and the importance of dynamics for properties and processing. At the smallest length and time scales, we discuss segmental dynamics in PNCs, including the role of polymer attributes, NP attributes, and NP-polymer interactions. Then, we present measurements of collective motions and intermediate (Rouse) dynamics in various PNC materials. At longer length and time scales, we discuss polymer center-of-mass diffusion in PNCs with either spherical or anisotropic NPs. We then explore the dynamics of the NPs in PNCs and polymer melts, including theoretical predictions, simulation results, and experimental observations. Finally, we note some of the remaining challenges in probing dynamics in PNC materials and fundamentally studying PNCs more generally.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A treatise on electricity and magnetism
(1954) · Journal of the Franklin Institute · doi:10.1016/0016-0032(54)90053-8 · Cited by 9,077
A Treatise on Electricity and Magnetism
(1873) · Nature · doi:10.1038/007478a0 · Cited by 4,537
Dynamics of entangled linear polymer melts: A molecular-dynamics simulation
Kremer, K., & Grest, G. S. (1990) · The Journal of Chemical Physics · doi:10.1063/1.458541 · Cited by 4,023
Graphene/Polymer Nanocomposites
Kim, H., Abdala, A. A., & Macosko, C. W. (2010) · Macromolecules · doi:10.1021/ma100572e · Cited by 3,406
Polymer nanotechnology: Nanocomposites
Paul, D. R., & Robeson, L. M. (2008) · Polymer · doi:10.1016/j.polymer.2008.04.017 · Cited by 3,317
Nanocomposite polymer electrolytes for lithium batteries
Croce, F., Appetecchi, G. B., Persi, L., & Scrosati, B. (1998) · Nature · doi:10.1038/28818 · Cited by 3,205
Nanoparticle Polymer Composites: Where Two Small Worlds Meet
Balazs, A. C., Emrick, T., & Russell, T. P. (2006) · Science · doi:10.1126/science.1130557 · Cited by 2,593
The effect of Brownian motion on the bulk stress in a suspension of spherical particles
Batchelor, G. K. (1977) · Journal of Fluid Mechanics · doi:10.1017/s0022112077001062 · Cited by 2,309
Polymer-based nanocapsules for drug delivery
Mora-Huertas, C. E., Fessi, H., & Elaissari, A. (2010) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2009.10.018 · Cited by 1,742
Patra, P. P., Chikkaraddy, R., Tripathi, R. P. N., Dasgupta, A., & Kumar, G. V. P. (2014) · Nature Communications · doi:10.1038/ncomms5357 · Cited by 1,635
Cited by
Topology mediates transport of nanoparticles in macromolecular networks
Dai, X., Zhang, X., Gao, L., Xu, Z., & Yan, L.-T. (2022) · Nature Communications · doi:10.1038/s41467-022-31861-9 · Cited by 44
Metadata
- Authors
- Bailey, E. J., & Winey, K. I.
- Venue
- Progress in Polymer Science
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 105
- Pages
- 101242
- ISSN
- 0079-6700 (ISSN-L)
- OpenAlex
- W3016917064
- Cited by
- 371
- References
- 202
- FWCI
- 17.89
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Dynamics of polymer segments, polymer chains, and nanoparticles in polymer nanocomposite melts: A review. https://app.cochat.ai/papers/10.1016/j.progpolymsci.2020.101242
- The paper
- Bailey, E. J., & Winey, K. I. (2020). Dynamics of polymer segments, polymer chains, and nanoparticles in polymer nanocomposite melts: A review. Progress in Polymer Science. https://doi.org/10.1016/j.progpolymsci.2020.101242
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.