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Record W1974421680 · doi:10.1002/pen.21082

Diffusion‐controlled atom transfer radical polymerization with crosslinking

2008· article· en· W1974421680 on OpenAlexaff
Qiang Yu, Zhongqiong Qin, Jinchun Li, Shiping Zhu

Bibliographic record

VenuePolymer Engineering and Science · 2008
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAtom-transfer radical-polymerizationMaterials sciencePolymer chemistryPolymerizationRadical polymerizationDifferential scanning calorimetryGel permeation chromatographyChain transferKinetic chain lengthMonomerLiving free-radical polymerizationChemical engineeringPolymerThermodynamicsComposite material

Abstract

fetched live from OpenAlex

Abstract The reaction behavior of atom transfer radical polymerization (ATRP) with crosslinking was studied using di(meth)acrylates as the model network‐forming system. The kinetics was followed by differential scanning calorimetry (DSC). The structural evolution of the networks was investigated by gel permeation chromatography (GPC) and extraction/swelling measurements. The linear primary chains were obtained by hydrolysis of the networks and analyzed by viscometry. It was found that the polymerization proceeded in a controlled/living manner in an early stage of the reaction with the molecular weight of primary chains increasing linearly with vinyl conversion. However, deviations from the linearity occurred at high monomer conversions due to the network structure that severely restricted mobilities of catalyst/ligand complexes in the radical activation/deactivation. The onset and degree of deviation depended on crosslinking density. The diffusion‐controlled radical deactivation caused a mild autoacceleration in the polymerization rate. Adding excess Cu(II) to the system reduced the polymerization rate but improved the linear growth of primary chains that would facilitate the synthesis of networks of controlled microstructure. POLYM. ENG. SCI., 2008. © 2008 Society of Plastics Engineers

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 score0.049
Threshold uncertainty score0.546

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 head0.006
GPT teacher head0.189
Teacher spread0.184 · 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

Citations19
Published2008
Admission routes1
Has abstractyes

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