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Record W7106360414 · doi:10.1021/acs.iecr.5c03811

Coalescence and Film Formation of Soft-Core–Hard-Shell Polyacrylate Latex

2025· article· en· W7106360414 on OpenAlexafffund

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2025
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaBASF
KeywordsCoalescence (physics)Förster resonance energy transferEmulsionSodium polyacrylatePhase (matter)AcceptorWettingEnergy transfer

Abstract

fetched live from OpenAlex

In the present study, we examine the coalescence between model soft-core ( T g ≈ −15 °C) and hard-“shell” ( T g ≈ 100 °C) polyacrylate (PA) particles (90 nm) prepared using a two-stage emulsion polymerization. To assess the coalescence in this rather complex system, we employed Förster resonance energy transfer (FRET), where donor and acceptor dyes were selectively placed in either the “shell” or core of the PA particles. FRET studies revealed some mixing between the high T g “shell” polymer, while the lower T g core had modest mixing when aged at room temperature and annealed at elevated (55 °C) temperatures. These results support the notion that the PA core–“shell” particle has a patchy shell. The phase behavior between the “shell” and core of the PA particles was also studied by FRET and atomic force microscopy. Both studies provide strong evidence of phase separation. These results present insights into the phase behavior in core–“shell” PA latexes.

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 score0.009
Threshold uncertainty score0.701

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 head0.065
GPT teacher head0.311
Teacher spread0.246 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

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