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Record W2137423933 · doi:10.1002/masy.201200066

The Effect of Polymer Microstructure and Thermal Post‐Treatment on Latex‐Based Pressure Sensitive Adhesive Performance

2013· article· en· W2137423933 on OpenAlexafffund
Marc A. Dubé, Lili Qie

Bibliographic record

VenueMacromolecular Symposia · 2013
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEmulsion polymerizationMaterials sciencePolymerMicrostructureAdhesiveMethacrylateEmulsionPolymer chemistryButyl acrylateAcrylic acidAcrylatePolymerizationMethyl methacrylateChemical engineeringComposite materialCopolymer

Abstract

fetched live from OpenAlex

Abstract Summary: Butyl acrylate/acrylic acid/2‐hydroxyl methacrylate (BA/AA/HEMA, weight ratio: 96/2/2) latexes were produced via starved seeded semi‐batch emulsion polymerization. The microstructure of the latex polymers was controlled by varying the amount of chain transfer agent (1‐dodecanethiol). The latexes were characterized for gel content, M c (molecular weight between two adjacent cross‐linking points), M w (molecular weight of sol polymers) and M e (molecular weight between entanglements). From these latexes, PSA films were cast, dried, conditioned and then thermally post‐treated at 120 °C to react the carboxyl and hydroxyl groups from the AA and HEMA units. Tack, peel strength and shear strength of the PSA films were then measured. The thermal post‐treatment was shown to be an effective way to improve latex‐based PSA performance. The effectiveness of the post‐treatment was observed to depend on the polymer microstructure (M c relative to M e relative to M w ) of the untreated latex‐based PSAs and on the gel content.

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 score0.015
Threshold uncertainty score0.628

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 head0.002
GPT teacher head0.182
Teacher spread0.181 · 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

Citations1
Published2013
Admission routes2
Has abstractyes

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