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Record W4321496900 · doi:10.1021/acs.macromol.2c00890

Transparent and Thermoplastic Silicone Materials Based on Room-Temperature Diels–Alder Reactions

2023· article· en· W4321496900 on OpenAlexafffund
Paria Azadi Namin, Phoebe Booth, Julio Treviño Silva, Laura J. Voigt, Paul M. Zelisko

Bibliographic record

VenueMacromolecules · 2023
Typearticle
Languageen
FieldMaterials Science
TopicSilicone and Siloxane Chemistry
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of CanadaBrock University
KeywordsSiliconeCuring (chemistry)Materials scienceThermoplasticComposite materialUltimate tensile strengthThermosetting polymerThermoplastic polymerPolymer

Abstract

fetched live from OpenAlex

A chemoenzymatic synthesis was used in the production of translucent silicone material with Diels–Alder cross-links. The exploration of a library of diene and dienophile combinations yielded materials that were initially cured in 5 h at room temperature and that could be repaired in <5 min with a relatively low-temperature regimen (heat to 80 °C and cool to room temperature to cure). All of the synthesized materials were thermoplastic and could be remolded while effectively retaining the bulk properties of the parent material (e.g., translucency, tensile strength, hardness, etc.). The healed “scars” of the materials were quite robust, with subsequent catastrophic failure during elongation of repaired materials occurring outside of these locations. To the best of our knowledge, this is the first and only reported case of a cross-linked silicone material based on the Diels–Alder reaction, where curing of the silicone material occurs at room temperature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.247
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2023
Admission routes2
Has abstractyes

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