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Record W1972763743 · doi:10.1021/ma9007225

Mass Transport Limitations and Their Effect on the Control of the Molecular Weight Distribution in Catalytic Chain Transfer Mediated Emulsion Polymerization

2009· article· en· W1972763743 on OpenAlexaff
Niels M. B. Smeets, Johan P. A. Heuts, Jan Meuldijk, Michael F. Cunningham, Alex M. van Herk

Bibliographic record

VenueMacromolecules · 2009
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsQueen's University
Fundersnot available
KeywordsChain transferEmulsion polymerizationChemistryPolymerPolymerizationMolar mass distributionEmulsionChemical engineeringAqueous two-phase systemMass transferPolymer chemistryAqueous solutionPhase (matter)Radical polymerizationChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

The existence of mass transport limitations in catalytic chain transfer mediated emulsion polymerization of methyl methacrylate (MMA) using bis[(difluoroboryl)dimethylglyoximato]cobalt(II) (COBF) was investigated. The rate of mass transport of COBF from the aqueous phase toward the polymer particles proved to depend strongly on the viscosity of the polymer particles and consequently on the instantaneous conversion. At high instantaneous conversion the exchange of COBF between the particles and the aqueous phase is severely hindered. As a result, the control of the molecular weight distribution is hampered. At low instantaneous conversion COBF is readily transferred between the aqueous phase and polymer particles, resulting in immediate molecular weight control. The chain transfer activity of COBF inside the polymer particles during the polymerization was successfully quantified using the chain length distribution method. The results of this work show that the presence of a catalytic chain transfer agent can severely affect the course of the emulsion polymerization. Furthermore, it was demonstrated that molecular weight control during the final stages of an emulsion polymerization is affected by the increasing viscosity of the polymer particles.

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 score0.031
Threshold uncertainty score0.425

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 head0.185
Teacher spread0.180 · 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

Citations10
Published2009
Admission routes1
Has abstractyes

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