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Record W1983172736 · doi:10.1021/cm035242n

Electrodeposition of Oligothiophene-Linked Gold Nanoparticle Films

2004· article· en· W1983172736 on OpenAlexafffund
Bryan C. Sih, Antje Teichert, Michael O. Wolf

Bibliographic record

VenueChemistry of Materials · 2004
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsColloidal goldNanoparticleConjugated systemMaterials scienceAlkylTerthiopheneEthylenedioxyLinkerElectrochemistryThin filmAbsorption (acoustics)Chemical engineeringPlasmonNanotechnologyPhotochemistryPolymer chemistryPolymerOrganic chemistryChemistryElectrodeOptoelectronicsPhysical chemistry

Abstract

fetched live from OpenAlex

The electrodeposition and characterization of conducting thin films of gold nanoparticles bridged with oligothiophene linkers are reported. Gold nanoparticles capped with the conjugated phosphines 5-diphenylphosphino-2,2‘:5‘,2‘ ‘-terthiophene ( d core = 1.7 ± 0.3 nm) and 5-diphenylphosphino-3‘,4‘-ethylenedioxy-2,2‘:5‘,2‘ ‘-terthiophene ( d core = 1.8 ± 0.4 nm) have been prepared. Electrochemical oxidation of these particles results in the deposition of thin films consisting of intact nanoparticles linked by oligothiophene moieties, in which the π−π* absorption of both the conjugated linker and the plasmon band are red-shifted relative to individual nanoparticles. Conductivities of both the unlinked and linked particles are measured and the latter are shown to have substantially higher conductivities than unlinked particles or gold nanoparticles linked by saturated alkyl chain linkers.

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 score0.001
Threshold uncertainty score0.943

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)0.0010.000

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 head0.013
GPT teacher head0.241
Teacher spread0.228 · 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

Citations53
Published2004
Admission routes2
Has abstractyes

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