2024
DOI: 10.1002/adma.202402627
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Reprocessability in Engineering Thermosets Achieved Through Frontal Ring‐Opening Metathesis Polymerization

Julian C. Cooper,
Justine E. Paul,
Nabil Ramlawi
et al.

Abstract: While valued for their durability and exceptional performance, crosslinked thermosets are challenging to recycle and reuse. Here, we unveil inherent reprocessability in industrially relevant polyolefin thermosets. Unlike prior methods, our approach eliminates the need to introduce exchangeable functionality to regenerate the material, relying instead on preserving the activity of the metathesis catalyst employed in the curing reaction. Frontal ring opening metathesis polymerization (FROMP) proves critical to p… Show more

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Cited by 3 publications
(2 citation statements)
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“…Upon full conversion of the monomer to a solid polymer, that is, α = 1, the propagation step concludes. We also note that�as a first approximation to the model�assumptions of no termination step, cross-metathesis, or initiator decomposition are employed (see Cooper et al 38 and Alzate-Sanchez et al 39 ).…”
Section: ■ Introductionmentioning
confidence: 99%
“…Upon full conversion of the monomer to a solid polymer, that is, α = 1, the propagation step concludes. We also note that�as a first approximation to the model�assumptions of no termination step, cross-metathesis, or initiator decomposition are employed (see Cooper et al 38 and Alzate-Sanchez et al 39 ).…”
Section: ■ Introductionmentioning
confidence: 99%
“…Intriguingly, V bur‑near and E ox were also the top-performing descriptors in the pot life classification model (Figures and S1, respectively). Experimentally, E ox has been shown to play a key role in material reprocessing with an embedded catalyst . The top-performing model (train R 2 = 0.92) was found to predict the front rates of test inhibitors (test R 2 = 0.80) with equivalent accuracy to leave one group out (LOGO) (group = inhibitor; Q 2 = 0.75), where the training set is benchmarked against itself by removing the data recorded for one inhibitor entirely, retraining the model, and then predicting its front rates.…”
mentioning
confidence: 99%