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Record W2775669488 · doi:10.1002/cphc.201701183

Azophenine as Central Core for Efficient Light Harvesting Devices

2017· article· en· W2775669488 on OpenAlexafffund
Lei Hu, Paul‐Ludovic Karsenti, Pierre D. Harvey

Bibliographic record

VenueChemPhysChem · 2017
Typearticle
Languageen
FieldMaterials Science
TopicPorphyrin and Phthalocyanine Chemistry
Canadian institutionsUniversité de Sherbrooke
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsBODIPYPorphyrinChemistryExcited statePhotochemistryFluorescenceAcceptorMolecular orbitalSinglet stateMoleculeAtomic physicsPhysics

Abstract

fetched live from OpenAlex

Abstract The notoriously non‐luminescent uncycled azophenine ( Q ) was harnessed with Bodipy and zinc(II)porphyrin antennas to probe its fluorescence properties, its ability to act as a singlet excited state energy acceptor and to mediate the transfer. Two near‐IR emissions are depicted from time‐resolved fluorescence spectroscopy, which are most likely due to the presence of tautomers of very similar calculated total energies (350 cm −1 ; DFT; B3LYP). The rates for energy transfer, k ET (S 1 ), for 1 Bodipy*→ Q are in the order of 10 10 –10 11 s −1 and are surprisingly fast when considering the low absorptivity properties of the lowest energy charge transfer excited state of azophenine. The rational is provided by the calculated frontier molecular orbitals (MOs) which show atomic contributions in the C 6 H 4 C≡CC 6 H 4 arms, thus favoring the double electron exchange mechanism. In the mixed‐antenna Bodipy–porphyrin star molecule, the rate for 1 Bodipy*→porphyrin has also been evaluated ( ≈ 16×10 10 s −1 ) and is among the fastest rates reported for Bodipy–zinc(II)porphyrin pairs. This astonishing result is again explained from the atomic contributions of the C 6 H 4 C≡CC 6 H 4 and C≡CC 6 H 4 arms thus favouring the Dexter process. Here, for the first time, this process is found to be sensitively temperature‐dependent. The azophenine turns out to be excellent for electronic communication.

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 score0.028
Threshold uncertainty score0.816

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 studies0.0010.000
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 head0.037
GPT teacher head0.293
Teacher spread0.257 · 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

Citations2
Published2017
Admission routes2
Has abstractyes

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