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Record W2035599118 · doi:10.1021/ma0708139

Verdazyl-Mediated Living-Radical Polymerization of Styrene and <i>n</i>-Butyl Acrylate

2007· article· en· W2035599118 on OpenAlexaff
Eric K. Y. Chen, Steven J. Teertstra, Delphine Chan‐Seng, Peter O. Otieno, Robin G. Hicks, Michael K. Georges

Bibliographic record

VenueMacromolecules · 2007
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolymer chemistryRadical polymerizationStyreneCopolymerPolymerizationLiving free-radical polymerizationChemistryCobalt-mediated radical polymerizationAcrylateLiving polymerizationBenzoyl peroxideNitroxide mediated radical polymerizationDispersityReversible addition−fragmentation chain-transfer polymerizationPolymerPhotochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The radical polymerization of styrene and n -butyl acrylate is demonstrated to proceed under controlled conditions between 125 and 130 °C in the presence of either a 1,5-dimethyl-3-phenyl-6-oxoverdazyl radical or a 1,5-dimethyl-3-ethyl-6-oxoverdazyl radical producing polymers with polydispersity indices in the 1.2−1.3 range. While polymerizations initiated with benzoyl peroxide or 1,1-azobis(cyanocyclohexane) in the presence of verdazyl radical were unsuccessful, polymerizations initiated with a styrene/verdazyl unimolecular initiator proceeded in a living fashion, although quite slowly. An increase in polymerization rate was obtained with a 1,5-dimethyl-6-oxoverdazyl radical, producing higher yields of well-defined polymers. The livingness of the resulting styrene and n -butyl acrylate homopolymers is illustrated with chain extension reactions to make well-defined diblock copolymers. These results open a new front in the development of living-radical polymerization processes, and the ability to manipulate the verdazyl structure offers the opportunity to further control and modify this process.

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 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 score0.032
Threshold uncertainty score0.629

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)0.0000.000

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 head0.005
GPT teacher head0.218
Teacher spread0.213 · 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.

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

Citations38
Published2007
Admission routes1
Has abstractyes

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