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Record W2003504299 · doi:10.1021/ma052068a

Energy Transfer Study of the Cylindrical Interface Formed by Asymmetric Isoprene−Methyl Methacrylate Diblock Copolymers Bearing a Dye at the Junction

2006· article· en· W2003504299 on OpenAlexaff
Jian Yang, Xudong Lou, John G. Spiro, Mitchell A. Winnik

Bibliographic record

VenueMacromolecules · 2006
Typearticle
Languageen
FieldMaterials Science
TopicBlock Copolymer Self-Assembly
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCopolymerAcceptorFörster resonance energy transferMethyl methacrylateMaterials sciencePolymerMethacrylateIsopreneFluorescenceMonte Carlo methodDipolePolymer chemistryAnalytical Chemistry (journal)ChemistryOpticsComposite materialPhysicsCondensed matter physicsOrganic chemistry

Abstract

fetched live from OpenAlex

The experiments described here were designed to determine the characteristic width δ of the cylindrical interface in a block copolymer that forms a hexagonal phase in the bulk state. We used fluorescence resonance energy transfer (FRET) to study films consisting of mixtures of donor- and acceptor-labeled poly(isoprene- b -methyl methacrylate) (PI−PMMA, 29 vol % PI). Dye labels were attached at the PI−PMMA junctions. Because the dyes are connected to the junctions, they are confined to the block copolymer interface. To obtain information about the width of the interface separating the components, we compared measured and simulated donor fluorescence decay profiles. We developed a Monte Carlo method to introduce donor and acceptor sites within the interface and then used this dye distribution to calculate simulated “experimental” decay profiles. In this way we were able to examine the appropriateness of using a preaveraged value of the orientation parameter in evaluating FRET data. We found that a value of 〈|κ|〉 2 = 0.40 gave a reasonable agreement with results obtained by considering random orientation of dipoles for each donor−acceptor pair. Through these experiments, we found a value of δ slightly smaller than 1.0 nm, confirming that PI and PMMA are very meagerly miscible polymers.

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 score0.010
Threshold uncertainty score0.998

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 science0.0010.000
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 head0.007
GPT teacher head0.225
Teacher spread0.218 · 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

Citations12
Published2006
Admission routes1
Has abstractyes

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