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Record W1965915887 · doi:10.1021/cm049403e

Rationalized Approach to Molecular Tailoring of Polymetallocenes with Predictable Optical Properties

2004· article· en· W1965915887 on OpenAlexaff
Chantal Paquet, Paul W. Cyr, Eugenia Kumacheva, Ian Manners

Bibliographic record

VenueChemistry of Materials · 2004
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRuthenoceneRefractive indexSubstituentRefractionFerroceneMolar massChemistryDispersion (optics)Materials sciencePolymerMolar ratioAnalytical Chemistry (journal)CrystallographyPhysical chemistryStereochemistryOrganic chemistryOptoelectronicsOptics

Abstract

fetched live from OpenAlex

A rationalized approach to tuning the optical properties of metallocenes is reported. The optical properties of a series of high molecular weight polymetallocenes with main chain ferrocene or ruthenocene units were examined. The refractive indices of polymetallocenes were tuned from 1.599 to 1.747 by modifying the metal, the substituent group, or the spacer element. The molar refraction of the backbone repeating unit, R fcE, {where fc = [(η 5 -C 5 H 4 ) 2 Fe] and E = Si, Ge, Sn, or P} was calculated to range from 57.2 to 63.6 cm 3 /mol and demonstrated to comply to the additivity principle of molar refraction. The value of the molar refraction of the backbone repeating unit, R fcE, was used to predict the refractive index of molecularly tailored polyferrocenes. The optical dispersion of polyferrocenes, characterized by the Abbé number, was demonstrated to be lower than that of organic polymers with similar refractive indices.

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 score0.044
Threshold uncertainty score0.328

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 head0.007
GPT teacher head0.171
Teacher spread0.164 · 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

Citations56
Published2004
Admission routes1
Has abstractyes

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