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Record W2063286092 · doi:10.1021/ma001739w

Interdiffusion vs Cross-Linking Rates in Isobutoxyacrylamide-Containing Latex Coatings

2001· article· en· W2063286092 on OpenAlexaff
Ronghua Liu, Mitchell A. Winnik, Frank Di Stefano, Jai Vanketessan

Bibliographic record

VenueMacromolecules · 2001
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolymerMonomerMethacrylatePolymer chemistryActivation energyChemistryGlass transitionDiffusionCopolymerMethyl methacrylateAnnealing (glass)Phosphoric acidAcrylateMaterials scienceOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

We describe the relative rates of polymer diffusion and cross-linking in a latex film containing 2 wt % (1.3 mol %) of N -isobutoxymethylacrylamide (IBMA) as a cross-linking agent. The latex base monomer is a 4:5 weight ratio copolymer of butyl acrylate and methyl methacrylate (BA−MMA) with a glass transition temperature of 12 °C. Polymer diffusion was monitored by direct energy transfer (ET) in films prepared from latex particles labeled with phenanthrene as the donor and anthracene as the acceptor. In a model film without IBMA, the quantum yield for ET (Φ ET ) increased to its maximum value of 0.62 in a few minutes at 120 °C, whereas at 80 °C the films required hours of annealing to achieve full mixing. The temperature dependence of the diffusion rate indicated an effective activation energy of 43 kcal/mol. In contrast, a film prepared from latex of similar molecular weight containing 2 wt % IBMA formed gel rapidly at 80 °C in the presence of 0.5 wt % toluenesulfonic acid. The system reached its maximum gel content over 40 min. Diffusion was retarded over all annealing times, but after 20 min at 80 °C, when the gel content was 60%, polymer diffusion ceased. If one uses a weaker acid, e.g., phosphoric acid instead of PTSA, the cross-linking rate is slower, whereas the polymer diffusion rate, prior to extensive gel formation, is not very much affected.

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 score0.142
Threshold uncertainty score0.915

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)0.0010.000

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 head0.011
GPT teacher head0.269
Teacher spread0.258 · 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

Citations41
Published2001
Admission routes1
Has abstractyes

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