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Record W2515468039 · doi:10.1021/acs.macromol.5b01224

Hyperbranched Polyethylene Ionomers Containing Cationic Tetralkylammonium Ions Synthesized by Pd–Diimine-Catalyzed Direct Ethylene Copolymerization with Ionic Liquid Comonomers

2015· article· en· W2515468039 on OpenAlexafffund
Peng Xiang, Zhibin Ye

Bibliographic record

VenueMacromolecules · 2015
Typearticle
Languageen
FieldChemistry
TopicSynthetic Organic Chemistry Methods
Canadian institutionsLaurentian University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Foundation for Innovation
KeywordsPolymer chemistryPolyolefinCopolymerPolyethyleneHexafluorophosphateMaterials scienceIonic liquidIonomerEthyleneCationic polymerizationIonic bondingComonomerPolymerizationEthylene oxideThermal stabilityPolymerChemistryCatalysisOrganic chemistryIon

Abstract

fetched live from OpenAlex

Synthesis of polyolefin-based ionomers through direct catalytic copolymerization of olefin with ionic comonomers has been challenging with no prior reports. We demonstrate in this article the first direct synthesis of a class of hyperbranched polyethylene ionomers containing positively charged tetralkylammonium ions and different counteranions (tetrafluoroborate, hexafluorophosphate, bis(trifluoromethane)sulfonimide, or hexafluoroantimonate) by copolymerization of ethylene with tetralkylammonium-containing acrylate-type ionic liquid comonomers ( 3 – 5, 7 ). The use of a Pd–diimine catalyst ( 1 ), which shows excellent stability toward the highly polar ionic group, is key to the direct synthesis. A detailed study on the catalytic copolymerization and the effects of the polymerization condition on the macromolecular chain parameters of the resulting ionomers has been performed. A range of ionomers differing in ion content and counteranion has been synthesized and characterized. Meanwhile, systematic studies on the structural, thermal, and melt rheological properties of the ionomers have been undertaken. The dramatic effects of ion incorporation on these properties, particularly on the rheological properties, are demonstrated.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.243
Teacher spread0.227 · 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

Citations37
Published2015
Admission routes2
Has abstractyes

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