The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Reprocessable Polyhydroxyurethane Network Composites: Effect of Filler Surface Functionality on Cross-link Density Recovery and Stress Relaxation
Abstract
Conventional polymer network composites cannot be recycled for high-value applications because of the presence of permanent covalent cross-links. We have developed reprocessable polyhydroxyurethane network nanocomposites using silica nanoparticles with different surface functionalities as reinforcing fillers. The property recovery after reprocessing is a function of the interaction between the filler surface and the network matrix during the network rearrangement process. When nonreactive silica nanoparticles lacking significant levels of surface functional groups are used at 4 wt % (2 vol %) loading, the resulting network composite exhibits substantial enhancement in mechanical properties relative to the neat network and based on values of rubbery plateau modulus is able to fully recover its cross-link density after a reprocessing step. When nanoparticles have surface functional groups that can participate in dynamic chemistries with the reprocessable network matrix, reprocessing leads to losses in mechanical properties associated with cross-link density at potential use temperatures, along with faster rates and lower apparent activation energies of stress relaxation at elevated temperature. This work reveals the importance of appropriate filler selection when polymer network composites are designed with dynamic covalent bonds to achieve both mechanical reinforcement and excellent reprocessability, which are needed for the development of recyclable polymer network composites for advanced applications.
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
Silica-Like Malleable Materials from Permanent Organic Networks
Montarnal, D., Capelot, M., Tournilhac, F., & Leibler, L. (2011) · Science · doi:10.1126/science.1212648 · Cited by 3,625
High-performance vitrimers from commodity thermoplastics through dioxaborolane metathesis
Röttger, M., Domenech, T., van der Weegen, R., Breuillac, A., Nicolaÿ, R., & Leibler, L. (2017) · Science · doi:10.1126/science.aah5281 · Cited by 1,394
Covalent Adaptable Networks (CANs): A Unique Paradigm in Cross-Linked Polymers
Kloxin, C. J., Scott, T. F., Adzima, B. J., & Bowman, C. N. (2010) · Macromolecules · doi:10.1021/ma902596s · Cited by 1,175
Dynamic Covalent Polymer Networks: from Old Chemistry to Modern Day Innovations
Zou, W., Dong, J., Luo, Y., Zhao, Q., & Xie, T. (2017) · Advanced Materials · doi:10.1002/adma.201606100 · Cited by 1,014
Mechanically Activated, Catalyst-Free Polyhydroxyurethane Vitrimers
Fortman, D. J., Brutman, J. P., Cramer, C. J., Hillmyer, M. A., & Dichtel, W. R. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b08084 · Cited by 811
Reprocessable thermosets for sustainable three-dimensional printing
Zhang, B., Kowsari, K., Serjouei, A., Dunn, M. L., & Ge, Q. (2018) · Nature Communications · doi:10.1038/s41467-018-04292-8 · Cited by 398
Zheng, N., Hou, J., Xu, Y., Fang, Z., Zou, W., Zhao, Q., & Xie, T. (2017) · ACS Macro Letters · doi:10.1021/acsmacrolett.7b00037 · Cited by 237
Recyclable and repolymerizable thiol–X photopolymers
Wang, C., Goldman, T. M., Worrell, B. T., McBride, M. K., Alim, M. D., & Bowman, C. N. (2018) · Materials Horizons · doi:10.1039/c8mh00724a · Cited by 81
Cited by
Scheutz, G. M., Lessard, J. J., Sims, M. B., & Sumerlin, B. S. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b07922 · Cited by 934
Vitrimers: directing chemical reactivity to control material properties
Guerre, M., Taplan, C., Winne, J. M., & Du Prez, F. E. (2020) · Chemical Science · doi:10.1039/d0sc01069c · Cited by 621
Lee, S.-H., Shin, S.-R., & Lee, D.-S. (2019) · Materials & Design · doi:10.1016/j.matdes.2019.107774 · Cited by 253
Vitrimer composites: current status and future challenges
Schenk, V., Labastie, K., Destarac, M., Olivier, P., & Guerre, M. (2022) · Materials Advances · doi:10.1039/d2ma00654e · Cited by 253
Li, L., Chen, X., & Torkelson, J. M. (2019) · Macromolecules · doi:10.1021/acs.macromol.9b01359 · Cited by 224
Self-citation
Metadata
- Authors
- Chen, X., Li, L., Wei, T., Venerus, D. C., & Torkelson, J. M.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-12-26
- Volume
- 11
- Issue
- 2
- Pages
- 2398-2407
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2906660449
- Cited by
- 158
- References
- 8
- FWCI
- 5.96
- 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
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.