The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
High-Strength, Healable, Supramolecular Polymer Nanocomposites
Open accessAbstract
A supramolecular polymer blend, formed via π-π interactions between a π-electron rich pyrenyl end-capped oligomer and a chain-folding oligomer containing pairs of π-electron poor naphthalene-diimide (NDI) units, has been reinforced with cellulose nanocrystals (CNCs) to afford a healable nanocomposite material. Nanocomposites with varying weight percentage of CNCs (from 1.25 to 20.0 wt %) within the healable supramolecular polymeric matrix have been prepared via solvent casting followed by compression molding, and their mechanical properties and healing behavior have been evaluated. It is found that homogeneously dispersed films can be formed with CNCs at less than 10 wt %. Above 10 wt % CNC heterogeneous nanocomposites were obtained. All the nanocomposites formed could be rehealed upon exposure to elevated temperatures although, for the homogeneous films, it was found that the healing rate was reduced with increasing CNC content. The best combination of healing efficiency and mechanical properties was obtained with the 7.5 wt % CNC nanocomposite which exhibited a tensile modulus enhanced by as much as a factor of 20 over the matrix material alone and could be fully rehealed at 85 °C within 30 min. Thus it is demonstrated that supramolecular nanocomposites can afford greatly enhanced mechanical properties relative to the unreinforced polymer, while still allowing efficient thermal healing.
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
Cellulose nanocrystals: chemistry, self-assembly, and applications
Habibi, Y., Lucia, L. A., & Rojas, O. J. (2010) · Chemical Reviews · doi:10.1021/cr900339w · Cited by 5,980
Polymer nanocomposites reinforced by cellulose whiskers
Favier, V., Chanzy, H., & Cavaille, J. Y. (1995) · Macromolecules · doi:10.1021/ma00122a053 · Cited by 1,149
Application of equivalent model method to dynamic rheo‐optical properties of crystalline polymer
Takayanagi, M., Uemura, S., & Minami, S. (1964) · Journal of Polymer Science Part C: Polymer Symposia · doi:10.1002/polc.5070050111 · Cited by 323
Cited by
Mechanically robust, readily repairable polymers via tailored noncovalent cross-linking
Yanagisawa, Y., Nan, Y., Okuro, K., & Aida, T. (2018) · Science · doi:10.1126/science.aam7588 · Cited by 1,073
Dynamic urea bond for the design of reversible and self-healing polymers
Ying, H., Zhang, Y., & Cheng, J. (2014) · Nature Communications · doi:10.1038/ncomms4218 · Cited by 988
Functional Naphthalene Diimides: Synthesis, Properties, and Applications
Al Kobaisi, M., Bhosale, S. V., Latham, K., Raynor, A. M., & Bhosale, S. V. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00160 · Cited by 928
Self-healing polymer nanocomposite materials: A review
Thakur, V. K., & Kessler, M. R. (2015) · Polymer · doi:10.1016/j.polymer.2015.04.086 · Cited by 667
Chemical and physical aspects of self-healing materials
Yang, Y., Ding, X., & Urban, M. W. (2015) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2015.06.001 · Cited by 536
Carbon nanotube–vitrimer composite for facile and efficient photo-welding of epoxy
Yang, Y., Pei, Z., Zhang, X., Tao, L., Wei, Y., & Ji, Y. (2014) · Chem. Sci. · doi:10.1039/c4sc00543k · Cited by 320
Cao, L., Fan, J., Huang, J., & Chen, Y. (2019) · Journal of Materials Chemistry A · doi:10.1039/c8ta11587g · Cited by 266
Yang, J., Han, C.-R., Duan, J.-F., Xu, F., & Sun, R.-C. (2013) · ACS Applied Materials & Interfaces · doi:10.1021/am4001997 · Cited by 261
Hao, S., Shao, C., Meng, L., Cui, C., Xu, F., & Yang, J. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.0c18250 · Cited by 258
Ezeigwe, E. R., Dong, L., Manjunatha, R., Tan, M., Yan, W., & Zhang, J. (2021) · Nano Energy · doi:10.1016/j.nanoen.2021.105907 · Cited by 87
Metadata
- Authors
- Fox, J., Wie, J. J., Greenland, B. W., Burattini, S., Hayes, W., Colquhoun, H. M., Mackay, M. E., & Rowan, S. J.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-03-09
- Volume
- 134
- Issue
- 11
- Pages
- 5362-5368
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W1981772920
- Cited by
- 339
- References
- 3
- FWCI
- 24.89
- Type
- journal article
- Language
- en
- Open access
- green
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
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.