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Record W2800809388 · doi:10.1002/macp.201800039

5‐Hydroxymethylfurfural Derivative Based Thermoplastic Elastomers Synthesized via Thiol‐Michael Addition Reaction Utilizing Poly(lactic acid) as Hard End Blocks

2018· article· en· W2800809388 on OpenAlexafffund
Daihui Zhang, Marie‐Josée Dumont

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2018
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPolymer chemistryAcrylateGel permeation chromatographyUltimate tensile strengthDiolMaterials scienceThermoplastic elastomerThermoplasticMichael reactionMaleimideCoupling reactionChemistryCopolymerOrganic chemistryComposite materialPolymerCatalysis

Abstract

fetched live from OpenAlex

Abstract 5‐Hydroxymethylfurfural derivative based thermoplastic elastomers (TPEs) are efficiently synthesized via a two‐step thiol‐Michael addition reaction using polylactide (PLA) as the hard segments in a one‐pot reaction under mild conditions. The first step involves the synthesis of prepolymers having thiol groups as end groups. The macromolecular coupling reaction which occurs between the prepolymers and the PLA having acrylate‐end groups is demonstrated via 1 H NMR and gel permeation chromatography (GPC). Additionally, by varying the ratio of 1,3‐propanedithiol and 2,5‐furan diacrylate, TPEs with soft segments having different molecular weights are synthesized, and then characterized. The cyclic tensile tests demonstrate the elasticity of the synthesized TPEs. Furthermore, the Diels–Alder reaction is used to dynamically crosslink the soft segments in the TPEs, leading to the increased mechanical properties in terms of Young's modulus and tensile strength.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.218
Teacher spread0.206 · 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 teacher head, not a consensus.

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

Citations2
Published2018
Admission routes2
Has abstractyes

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