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Record W2107367748 · doi:10.1039/c1sm06344h

Understanding the thermo-sensitivity of crystalline colloidal arrays formed by poly(styrene-co-N-isopropylacrylamide) core–shell microspheres

2011· article· en· W2107367748 on OpenAlexafffund
Gwénaëlle Bazin, X. X. Zhu

Bibliographic record

VenueSoft Matter · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHydrogels: synthesis, properties, applications
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsColloidEmulsion polymerizationMaterials sciencePoly(N-isopropylacrylamide)Styrenevan der Waals forcePolymerizationChemical engineeringPhase transitionEmulsionPhase (matter)Volume (thermodynamics)MicrospherePulmonary surfactantChemical physicsCopolymerChemistryThermodynamicsPolymerMoleculeComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Poly(styrene-co-N-isopropylacrylamide) core–shell microspheres have been synthesized by a two-step surfactant-free emulsion polymerization process. These microspheres are thermo-responsive with a clear volume phase transition around 30 °C and form crystalline colloidal arrays over a wide range of concentrations. The resulting crystalline arrays also display a response to temperature, visible through a change in the diffraction spectrum. However, the response appears to be highly dependent on the microsphere concentration. This behavior originates from a change in the short-range interactions between particles rather than from the volume change of the particles caused by the volume phase transition. Attractive van der Waals interactions increase while repulsions decrease; these changes only affect the equilibrium of concentrated samples, where the interparticle distance is sufficiently short to have an effect.

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 score0.085
Threshold uncertainty score0.658

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 head0.044
GPT teacher head0.241
Teacher spread0.197 · 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

Citations15
Published2011
Admission routes2
Has abstractyes

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