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Record W1985870346 · doi:10.1021/ma201368c

Production of Ethylene/α-Olefin/1,9-Decadiene Copolymers with Complex Microstructures Using a Two-Stage Polymerization Process

2011· article· en· W1985870346 on OpenAlexaff
Saeid Mehdiabadi, João B. P. Soares

Bibliographic record

VenueMacromolecules · 2011
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolymer chemistryCopolymerMacromonomerMaterials sciencePolymerizationEthylenePolymerPolyolefinOlefin fiberCrystallinityCoordination polymerizationOcteneAnionic addition polymerizationOrganic chemistryChemistryCatalysisComposite material

Abstract

fetched live from OpenAlex

Ethylene was copolymerized with 1,9-decadiene using methylaluminoxane-activated rac -Et(Ind) 2 ZrCl 2 at 120 °C to produce macromonomers with pendant and terminal vinyl groups with a maximum of 6.5 vinyl groups per polymer chain. The macromonomers were copolymerized with ethylene and 1-butene or 1-octene using a constrained geometry catalyst (dimethylsilyl( N - tert -butylamido)(tetramethylcyclopentadienyl)titanium dichloride) at 120 °C in toluene. The resulting branched polymers showed three distinct populations during crystallization analysis fractionation, indicating the formation of a new fraction produced by the incorporation of macromonomer chains into ethylene/1-butene or ethylene/1-octene copolymer chains. These novel polyolefins have complex branched structures consisting of three main components: a high-crystallinity fraction (macromonomers), a low-crystallinity (or amorphous) fraction (α-olefin copolymer), and a third component resulting from the cross-linking of the two previous components ( cross-product ). These branch–block copolymers have microstructures that can be tightly controlled by varying the conditions during the two stages of polymerization required for their synthesis and are promising new materials for specialty polyolefin applications.

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 categoriesInsufficient 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 score0.005
Threshold uncertainty score0.996

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)0.0050.000

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 head0.029
GPT teacher head0.253
Teacher spread0.224 · 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

Citations18
Published2011
Admission routes1
Has abstractyes

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