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Record W2004396306 · doi:10.1021/ma049245c

Energy Transfer Study of Symmetric Polyisoprene−Poly(methyl methacrylate) Diblock Copolymers Bearing Dyes at the Junctions:  Dye Orientation

2005· article· en· W2004396306 on OpenAlexaff
Jian Yang, Robert S. Roller, Mitchell A. Winnik, Ying Zhang, Tadeusz Pakuła

Bibliographic record

VenueMacromolecules · 2005
Typearticle
Languageen
FieldMaterials Science
TopicBlock Copolymer Self-Assembly
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLamellar structureCopolymerMethyl methacrylatePolymerMaterials sciencePolymer chemistryMethacrylateOrientation (vector space)MoleculeIsopreneChemical physicsChemistryComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Direct nonradiative energy transfer experiments are described for the lamellar structures formed in films of poly(isoprene- b -methyl methacrylate) in which individual polymers are labeled at the junction with a single dye molecule. The donor was 9-phenanthryl (9Phe), and we compare two acceptors (1-anthryl (1An) and 2-anthryl (2An)) which differ in the orientation of their transition moments with respect to the polymer backbone. Experiments on the lamellar structures formed in films of PI-9Phe-PMMA/PI-1An-PMMA and PI-9Phe-PMMA/PI-2An-PMMA provide identical values of the interface thickness (1.1 ± 0.2 nm) between the PI and PMMA domains. The fact that a common value is obtained for the two sets of experiments indicates that the orientation parameter κ 2 for the energy transfer process in this rigid system makes an identical contribution to both sets of experiments. We take these results as justification for using an averaged value of the orientation parameter 〈|κ|〉 2 in fitting experimental data to the underlying theory of energy transfer. We find that in our experiments the local correlation in orientation of the polymer chains in the region of the interface is too small to be detected.

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)0.001
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 score0.025
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.245
Teacher spread0.234 · 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

Citations10
Published2005
Admission routes1
Has abstractyes

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