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Record W2103140929 · doi:10.1103/physreve.69.061612

Onset and manipulation of self-assembled morphology in freely standing polymer trilayer films

2004· article· en· W2103140929 on OpenAlexafffund
Chris A. Murray, Stephen Kamp, Jason M. Thomas, John Dutcher

Bibliographic record

VenuePhysical Review E · 2004
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Thin Films
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaOntario Innovation Trust
KeywordsMorphology (biology)Materials sciencePolystyreneGlass transitionDispersion (optics)PolymerLayer (electronics)ModulusComposite materialNanotechnologyOptics

Abstract

fetched live from OpenAlex

We have used reflected light microscopy to study the lateral morphology which self-assembles at elevated temperatures in films consisting of a polyisoprene (PI) layer capped on both sides by polystyrene (PS) layers: freely standing PS/PI/PS trilayer films. Heating of the trilayer films causes the formation of a periodic, lateral morphology which is driven by the attractive dispersion interaction acting across the film. In our studies of the temperature dependence of the morphology, we find that the onset temperature for the formation of the morphology increases with increasing heating rate. By heating the films to temperatures greater than the glass transition temperature of the PS-capping layers, the morphology is removed. By heating and then cooling the films, the morphology formed upon heating disappears and reforms at right angles to the original morphology with a larger periodicity characteristic of the lower temperature. These results can be explained by considering the time and temperature dependence of Young's modulus of PS.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.345

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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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

Citations7
Published2004
Admission routes2
Has abstractyes

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Same venuePhysical Review ESame topicFluid Dynamics and Thin FilmsFrench-language works237,207