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Record W2891893193 · doi:10.1002/macp.201800354

Cross Conjugated Organometallic Polymers Exhibiting Ultrafast Excitation Energy Channeling: Drastic Effect of the Connectivity

2018· article· en· W2891893193 on OpenAlexafffund
Lei Hu, Frank Juvenal, Paul‐Ludovic Karsenti, Daniel Fortin, Pierre D. Harvey

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2018
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
KeywordsChemistryDiimineUltrafast laser spectroscopyPolymerPhotochemistryExcited statePlatinumSpectroscopyPorphyrinPhysical chemistryPolymer chemistryAtomic physicsOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Abstract A polymer composed of 2,6‐diethynylanthraquinone diimine ( AQI ) and trans ‐bis(tributylphosphine)platinum(II), [Pt] , flanked by one tetraphenylpalladium(II)porphyrin (TPPPd) and one para ‐nitrobenzene (C 6 H 4 NO 2 ) is prepared ( P1 : M n = 57000, M w = 124500, Đ = 2.18, DP = 52.5) and is studied by time‐resolved emission spectroscopy and fs transient absorption spectroscopy (fs‐TAS). A model polymer ( AQI (C 6 H 4 NO 2 ) 2 ‐ [Pt] ) n is used for comparison ( P2 : M n = 88200, M w = 188700, Đ = 2.14, DP = 111). Taking advantage of the dynamics of the excited states of [Pt] and TPPPd and those obtained for P1 and P2 , it is shown that the excitation energy absorbed by the central polymer chain, ( AQI‐[Pt] ) n , channels this energy very efficiently, to the pendent TPPPd with a rate of energy transfer, k ET (S 1 ), larger than 2.3 × 10 10 s −1 for an energy transfer 1 ( AQI‐[Pt] )* → TPPPd for P1 at 298 K based on the decrease of the fluorescence lifetime of the ( AQI‐[Pt] ) n chain in P1 compared to P2 . This rate is more accurately estimated by fs‐TAS and is found to be 1.8 × 10 11 s −1 . This rate is ultrafast and is due to a large contribution of the Dexter mechanism across the imine bridge (CN).

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 score0.003
Threshold uncertainty score0.694

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 studies0.0000.001
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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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
Published2018
Admission routes2
Has abstractyes

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