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Record W2014630711 · doi:10.1002/zaac.200800425

Tuning the Photophysical Properties and Solid‐State Organization of Perfluorophenyl‐functionalized Dithieno[3,2‐<i>b</i>:2′,3′‐<i>d</i>]phospholes

2009· article· en· W2014630711 on OpenAlexaff
Y. Dienes, Ulli Englert, Thomas Baumgartner

Bibliographic record

VenueZeitschrift für anorganische und allgemeine Chemie · 2009
Typearticle
Languageen
FieldEngineering
TopicOrganic Light-Emitting Diodes Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPhospholeHeteroatomIntermolecular forceStackingChemistrySolid-stateCrystallographyBrominePhotochemistryStereochemistryPhysical chemistryRing (chemistry)Organic chemistryMolecule

Abstract

fetched live from OpenAlex

Abstract A series of perfluorophenyl‐substituted dithienophosphole derivates has been synthesized. Investigation of their photophysical properties, as well as their organization in the solid state reveals that these properties can be manipulated via introduction of bromine substituents in 2,6‐position of the dithienphosphole scaffold, as well as the complexation of the phosphorus center with an electron rich gold(I) fragment. The strongly electron‐withdrawing character of the perfluorophenyl‐group surmounts the effect of the oxidation of the phosphorus center with respect to photophysics, leading to leading to optoelectronic features similar to those of the trivalent phosphole species. The trivalent phosphole species. The solid‐state organization of the members of this perfluorinated dithienophosphole family, on the other hand, strongly depends on the heteroatoms present within the system, as close intermolecular interactions can be observed between varieties of different atoms (Au‐Au, Br‐Br, Br‐O, Br‐C, F‐C, O‐S), next to regular C‐C π‐stacking interactions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.232
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), 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

Citations28
Published2009
Admission routes1
Has abstractyes

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