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Record W2314660120 · doi:10.1149/1.3328509

Oxygen Reduction at Cobalt Phthalocyanine Modified Au(111) Electrodes

2010· article· en· W2314660120 on OpenAlexafffund
Mohammad F. Khanfar, Sylvie Morin

Bibliographic record

VenueECS Transactions · 2010
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsYork University
FundersCanada Research ChairsYork University
KeywordsPhthalocyanineCyclic voltammetryElectrochemistryScanning tunneling microscopeMonolayerChemistryMoleculeDensity functional theoryOxygenCobaltAdsorptionElectrodePhotochemistryInorganic chemistryAnalytical Chemistry (journal)Materials sciencePhysical chemistryComputational chemistryNanotechnologyOrganic chemistry

Abstract

fetched live from OpenAlex

Au(111) substrates were modified with cobalt phthalocyanine (CoPc) monolayers. Formation of the adsorbed layer was confirmed by in situ electrochemical scanning tunneling microscopy (STM) while its electrochemical activity was monitored by cyclic voltammetry (CV). The adsorbed molecules have demonstrated a noticeable electrocatalytic activity toward the reduction of oxygen. Significant changes in the STM features of the adsorbed molecules were observed when the measurements were performed in the presence of ca. 1 atm of oxygen at low overpotentials. The reported features were attributed to changes in the electronic structure of the molecule when it forms an intermediate during oxygen reduction. Geometries of two of the possible intermediates, HOOCoPc and O2CoPc, were optimized by density functional theoretical (DFT) method. Frontier orbitals of the hydroperoxo intermediate have electronic density similar to the STM features reported here, which could support that we are probing a reaction intermediate during the O2 reduction process.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.069
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.220
Teacher spread0.211 · 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

Citations1
Published2010
Admission routes2
Has abstractyes

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