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Record W2042667194 · doi:10.1021/ie900060x

Study of Butyl Methacrylate Depropagation Behavior Using Batch Experiments in Combination with Modeling

2009· article· en· W2042667194 on OpenAlexafffund
Wei Wang, Robin A. Hutchinson, Michael C. Grady

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2009
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMonomerPolymerPolymerizationChemistryKineticsMethacrylatePolymer chemistryMole fractionFraction (chemistry)Polymethyl methacrylateActivation energyThermodynamicsPhysical chemistryChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

Batch polymerization experiments are combined with simulations to investigate the depropagation behavior of butyl methacrylate (BMA). Experiments carried out between 110 and 145 °C and polymer contents between 9 and 34 wt %, including experiments conducted with added polymer, indicate that equilibrium monomer concentration ([M] eq ) varies not only with temperature but also with polymer content. An extended Predici model provides a good fit to the monomer concentration and polymer molecular weight profiles, with the simulated monomer profiles at 132 and 145 °C sensitive to small changes in the depropagation activation energy. Thus, these data provide a better estimate of depropagation kinetics than those measured by the pulsed-laser polymerization/size-exclusion chromatography method. The entire data set is well-represented by [M] eq (mol·L −1 ) = 1.76 × 10 6 (1 − 0.778 x wp ) exp(−6240/ T ), in which x wp represents the weight fraction of polymer in the system.

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 score0.036
Threshold uncertainty score0.727

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 integrity0.0000.001
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 head0.156
GPT teacher head0.374
Teacher spread0.218 · 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
Published2009
Admission routes2
Has abstractyes

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