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Record W2350587600

Self-assembly of Phthalocyanine-carbon Nanotubes Dispersed in Micelle and Light Induced Long-lived Charge Separation State

2012· article· en· W2350587600 on OpenAlexaff
Xiao Shao, Mpc Technologies

Bibliographic record

VenueGaodeng xuexiao huaxue xuebao · 2012
Typearticle
Languageen
FieldMaterials Science
TopicPorphyrin and Phthalocyanine Chemistry
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsPhotochemistryPhthalocyanineFlash photolysisCarbon nanotubeMicelleElectron transferChemistryFluorescenceElectron acceptorAcceptorElectron donorSodium dodecyl sulfateAbsorption (acoustics)Aqueous solutionMaterials scienceNanotechnologyOrganic chemistryCatalysisKineticsReaction rate constant
DOInot available

Abstract

fetched live from OpenAlex

To mimic the primary process in photosynthesis,tetrasulfonated zinc phthalocyanine(ZnPcS4) and single-walled carbon nanotubes(SWCNT) were assembled to noncovalent electron donor-acceptor(D-A) complex assisted by sodium dodecyl sulfate(SDS) micelle,which disaggregate both SWCNTs and phthalocyanines in aqueous solution.The D-A complex is featured by the new absorption at 707 nm and completely non fluorescence,due to the efficient intra-molecular photo induced electron transfer revealed by both steady state and time resolved fluorescence spectra.The charge separation state(CSS) was observed by laser flash photolysis and showed a long lifetime of 42 μs observable by kinetic analysis.The long-lived CSS is due to the triplet electron transfer which is made possible by the low oxidation potential of the phthalocyanine(good donor) and the low reduction potential of SWCNT(good acceptor).The result shows that SWCNT may be applied in artificial photosynthesis.

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)0.001
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.265
Teacher spread0.246 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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