MétaCan
Menu
Back to cohort
Record W1971468654 · doi:10.1021/ma048733h

Enhanced Blue-Violet Emission from Poly(fluorene-<i>co</i>-thiophene) Host−Guest Systems

2004· article· en· W1971468654 on OpenAlexaff
George Vamvounis, Gisela L. Schulz, Steven Holdcroft

Bibliographic record

VenueMacromolecules · 2004
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsFluoreneCopolymerThiopheneElectroluminescenceLuminescenceMaterials sciencePolyfluorenePolymer chemistryPolymerPhotochemistryCondensation polymerChemistryOrganic chemistryNanotechnologyOptoelectronics

Abstract

fetched live from OpenAlex

Host−guest systems based on novel poly(fluorene- alt -thiophene) (PFT) polymers exhibiting enhanced solid-state blue-violet emission are presented. These polymers were synthesized via Suzuki polycondensation of 9,9-dihexylfluorene-2,7-bis(trimethyleneborate) with 3,4-dibromothiophene and/or 2,7-dibromo-9,9-dihexylfluorene. The host is a UV-violet-emitting, alternating 3,4-linked poly(fluorene- co -thiophene), and the guests are poly(9,9-dihexylfluorene) (PDHF) segments, which are prepared by either blending or copolymerization. In both cases, blue-violet emission is observed in the solid state. The solid-state quantum yields of luminescence (Φ pl ) are determined. Blended and copolymer systems showed a pronounced difference: Φ pl of blends were independent of polymer composition while copolymers were strongly composition-dependent. These differences are attributed to morphological differences, wherein blends are phase-segregated while the copolymer system are best described as solid solutions of the guest in the host. Copolymers gave up to 10-fold enhancement in the external quantum efficiency of electroluminescence compared to the case of PDHF.

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 score0.015
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
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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

Citations50
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueMacromoleculesSame topicOrganic Electronics and PhotovoltaicsFrench-language works237,207