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Record W2017207840 · doi:10.1021/ma020962l

An Energy Transfer Study of Homopolymer Localization in Block Copolymers

2003· article· en· W2017207840 on OpenAlexaff
Yahya Rharbi, Jianxin Zhang, John G. Spiro, Liusheng Chen, Mitchell A. Winnik, J. D. Vavasour, M. D. Whitmore, R. Jérôme

Bibliographic record

VenueMacromolecules · 2003
Typearticle
Languageen
FieldMaterials Science
TopicBlock Copolymer Self-Assembly
Canadian institutionsUniversity of TorontoMemorial University of Newfoundland
Fundersnot available
KeywordsCopolymerLamellar structureStyreneAnthracenePolymer chemistryMethacrylatePhenanthreneMaterials scienceFlory–Huggins solution theoryPolymerPyreneEnergy transferChemistryCrystallographyChemical physicsComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

We have investigated the localization of homopolystyrene (hPS) in its blends with poly(styrene- b -butyl methacrylate) (PS- b -PBMA), at 140 °C, measuring the quantum efficiency of direct energy transfer (Φ ET of DET) between hPS randomly labeled with phenanthrene moieties and PS- b -PBMA labeled at the junction with anthracene. The molecular weight of hPS was similar to the molecular weight of the PS block of PS- b -PBMA, and the hPS content was kept to a maximum of 26 vol %, to preserve the lamellar morphology of PS- b -PBMA. We have found very low rates of DET, which implies that hPS is almost totally localized between the PS brushes of PS- b -PBMA. In addition to the experimental measurements, we also calculated Φ ET values by simulating fluorescence decay curves, based on Vavasour and Whitmore's numerical self-consistent-field (NSCF) formalism. The latter theory confirmed that we were dealing with a “dry brush” situation, but the NSCF results suggested a higher level of penetration of hPS than the experiments. We attribute this discrepancy to uncertainties about inputs to the simulations, particularly the Flory−Huggins χ parameter and the Kuhn length for the PBMA block.

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 categoriesMeta-epidemiology (narrow)
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 score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.236
Teacher spread0.228 · 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.

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

Citations9
Published2003
Admission routes1
Has abstractyes

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