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Record W2015443846 · doi:10.1021/ma030035u

Synthesis of Block Copolymers Possessing Fluoropolymer and Non-Fluoropolymer Segments by Radical Polymerization

2004· article· en· W2015443846 on OpenAlexaff
Zhiqing Shi, Steven Holdcroft

Bibliographic record

VenueMacromolecules · 2004
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsBC Innovation CouncilNational Research Council CanadaSimon Fraser University
Fundersnot available
KeywordsFluoropolymerCopolymerPolymer chemistryAtom-transfer radical-polymerizationMaterials sciencePolymerizationHexafluoropropylenePolymerEmulsion polymerizationStyreneMonomerMethyl methacrylateRadical polymerizationLiving free-radical polymerizationChemistryComposite material

Abstract

fetched live from OpenAlex

The synthesis of block copolymers comprising fluoropolymer and non-fluoropolymer segments is reported. The synthetic method is based on chain transfer emulsion polymerization of fluoromonomers and their subsequent employment as macroinitiators in atom transfer radical polymerization (ATRP) of non-fluorinated vinyl monomers. Trichloromethyl-terminated copolymers of vinylidene difluoride (VDF) and hexafluoropropylene (HFP), possessing molecular weights up to 25 000 g/mol, were obtained by emulsion polymerization in the presence of chloroform and used to initiate the ATRP of styrene (St) and methyl methacrylate (MMA) to form a series of P(VDF- co -HFP)- b -PS and P(VDF- co -HFP)- b -PMMA block copolymers. NMR, GPC, DSC, and TEM analysis confirmed the compositions of the block copolymers. The polymers exhibited a phase-separated morphology in the solid state and possessed distinct glass transition temperatures associated with fluoropolymer, PS, and PMMA domains.

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)0.0000.000
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)0.0020.001

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 head0.004
GPT teacher head0.218
Teacher spread0.214 · 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

Citations79
Published2004
Admission routes1
Has abstractyes

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