The DOI matches its Crossref record; 396 of the 396 references it cites were found in a registry or an index.
Molecular Characterization of Polymer Networks
Abstract
Polymer networks are complex systems consisting of molecular components. Whereas the properties of the individual components are typically well understood by most chemists, translating that chemical insight into polymer networks themselves is limited by the statistical and poorly defined nature of network structures. As a result, it is challenging, if not currently impossible, to extrapolate from the molecular behavior of components to the full range of performance and properties of the entire polymer network. Polymer networks therefore present an unrealized, important, and interdisciplinary opportunity to exert molecular-level, chemical control on material macroscopic properties. A barrier to sophisticated molecular approaches to polymer networks is that the techniques for characterizing the molecular structure of networks are often unfamiliar to many scientists. Here, we present a critical overview of the current characterization techniques available to understand the relation between the molecular properties and the resulting performance and behavior of polymer networks, in the absence of added fillers. We highlight the methods available to characterize the chemistry and molecular-level properties of individual polymer strands and junctions, the gelation process by which strands form networks, the structure of the resulting network, and the dynamics and mechanics of the final material. The purpose is not to serve as a detailed manual for conducting these measurements but rather to unify the underlying principles, point out remaining challenges, and provide a concise overview by which chemists can plan characterization strategies that suit their research objectives. Because polymer networks cannot often be sufficiently characterized with a single method, strategic combinations of multiple techniques are typically required for their molecular characterization.
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
Oliver, W. C., & Pharr, G. M. (1992) · Journal of Materials Research · doi:10.1557/jmr.1992.1564 · Cited by 26,961
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Principles of Polymer Chemistry.
Huggins, M. L. (1954) · Journal of the American Chemical Society · doi:10.1021/ja01639a090 · Cited by 16,550
VI. The phenomena of rupture and flow in solids
Griffith, A. A. (1921) · Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character · doi:10.1098/rsta.1921.0006 · Cited by 11,052
Scaling concepts in polymer physics
Gordon, M. (1981) · Polymer · doi:10.1016/0032-3861(81)90183-x · Cited by 10,288
Williams, M. L., Landel, R. F., & Ferry, J. D. (1955) · Journal of the American Chemical Society · doi:10.1021/ja01619a008 · Cited by 8,083
Surface energy and the contact of elastic solids
Johnson, K. L., Kendall, K., & Roberts, A. D. (1971) · Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences · doi:10.1098/rspa.1971.0141 · Cited by 8,061
Introduction to Percolation Theory
Stauffer, D., Aharony, A., & Redner, S. (1993) · Physics Today · doi:10.1063/1.2808877 · Cited by 6,666
An introduction to fluid dynamics
Curle, N. (1968) · International Journal of Heat and Mass Transfer · doi:10.1016/0017-9310(68)90038-0 · Cited by 6,135
Rubinstein, M., & Colby, R. H. (2003) · doi:10.1093/oso/9780198520597.001.0001 · Cited by 5,686
Self-citation
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
Comparative mucomic analysis of three functionally distinct Cornu aspersum Secretions
Cerullo, A. R., McDermott, M. B., Pepi, L. E., Liu, Z.-L., Barry, D., Zhang, S., Yang, X., Chen, X., Azadi, P., Holford, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41094-z · Cited by 35
Metadata
- Authors
- Danielsen, S. P. O., Beech, H. K., Wang, S., El-Zaatari, B. M., Wang, X., Sapir, L., Ouchi, T., Wang, Z., Johnson, P. N., Hu, Y., Lundberg, D. J., Stoychev, G., Craig, S. L., Johnson, J. A., Kalow, J. A., Olsen, B. D., & Rubinstein, M.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-04-01
- Volume
- 121
- Issue
- 8
- Pages
- 5042-5092
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W3143185725
- Cited by
- 336
- References
- 396
- FWCI
- 1.81
- Type
- journal article
- Language
- en
- Open access
- closed
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: Molecular Characterization of Polymer Networks. https://app.cochat.ai/papers/10.1021/acs.chemrev.0c01304
- The paper
- Danielsen, S. P. O., Beech, H. K., Wang, S., El-Zaatari, B. M., Wang, X., Sapir, L., Ouchi, T., Wang, Z., Johnson, P. N., Hu, Y., Lundberg, D. J., Stoychev, G., Craig, S. L., Johnson, J. A., Kalow, J. A., Olsen, B. D., & Rubinstein, M. (2021). Molecular Characterization of Polymer Networks. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.0c01304
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.