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Record W2389976692 · doi:10.1002/cjce.22539

Toward the development of a mathematical model for the bulk in situ radical polymerization of methyl methacrylate in the presence of nano‐additives

2016· article· en· W2389976692 on OpenAlexvenueno aff
George D. Verros, Dimitris S. Achilias

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2016
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsnot available
Fundersnot available
KeywordsMethyl methacrylatePolymerizationRadical polymerizationPolymerMonomerNano-DiffusionMolar mass distributionKineticsWork (physics)Materials scienceChemistryPolymer chemistryThermodynamicsOrganic chemistryComposite materialPhysics

Abstract

fetched live from OpenAlex

The effect of nano‐additives on the radical polymerization kinetics of methyl methacrylate is investigated through a simulation model. The mathematical model developed is based on the elementary chemical reactions that take place and the detailed mass balance equations. To account for the effect of diffusion‐controlled phenomena on the initiation, propagation, and termination reaction, appropriate theoretical equations based on sound principles such as the free volume theory were developed. The model predictions were found to be in satisfactory agreement with literature data for both monomer conversion as a function of time, and final product average molecular masses and molecular mass distribution of the produced polymer. It is believed that this work could be used to further investigate radical polymerization in the presence of nano‐additives.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.088
Threshold uncertainty score0.170

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.019
GPT teacher head0.225
Teacher spread0.206 · 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

Citations11
Published2016
Admission routes1
Has abstractyes

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