MétaCan
Menu
Back to cohort
Record W2157389666 · doi:10.1002/mats.201300166

Development of Molecular Weight Distribution in ATRP with Radical Termination

2014· article· en· W2157389666 on OpenAlexafffund
Erlita Mastan, Da-Peng Zhou, Shiping Zhu

Bibliographic record

VenueMacromolecular Theory and Simulations · 2014
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsDispersityMolar mass distributionAtom-transfer radical-polymerizationChemistryMonomerPolymerizationRadical polymerizationWork (physics)Polymer chemistryDistribution (mathematics)ThermodynamicsChemical physicsPolymerOrganic chemistryMathematicsPhysics

Abstract

fetched live from OpenAlex

In a previous work, a model of full molecular weight distribution (MWD) for atom transfer radical polymerization with radical termination has been developed, using analogy to a series of continuous stirred tank reactors. This model assumes constant reaction rates, which is applicable to low conversion batches or steady‐state continuous processes. In this work, the model is generalized to any polymerization condition, which provides variations of the reaction rates with conversion are known. Using this extended model, the effect of monomer conversion on the MWD is demonstrated, for the cases with and without radical termination. The conversion dependence of MWD is found to be significant. The broadening of distribution is correlated to the lack of control and/or the loss of livingness. Both control and livingness are necessary conditions for narrow MWD. It is also found that the effects of these two factors are very different, yielding different distribution shapes, even with similar average chain lengths (rN) and polydispersity indexes (PDI).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.212
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations18
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueMacromolecular Theory and SimulationsSame topicAdvanced Polymer Synthesis and CharacterizationFrench-language works237,207