MétaCan
Menu
Back to cohort
Record W2323781730 · doi:10.1149/1.3104055

Comparison of Two New Substituted Iron Phthalocyanines as Electrocatalysts for the Oxygen Reduction and Hydrazine Oxidation Reaction

2009· article· en· W2323781730 on OpenAlexafffund
Ryan C. Baker, David P. Wilkinson, Jiujun Zhang

Bibliographic record

VenueECS Transactions · 2009
Typearticle
Languageen
FieldMaterials Science
TopicPorphyrin and Phthalocyanine Chemistry
Canadian institutionsNational Research Council Canada
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryTafel equationCyclic voltammetryPhthalocyanineRotating disk electrodeHydrazine (antidepressant)PhotochemistryInorganic chemistryOxygenRedoxElectrolyteSteric effectsElectrochemistryElectrodeMedicinal chemistryOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

In this work, two newly synthesized iron phthalocyanines (FePc's), with de-activating substitutents, iron(II) 2,9,16,23-tetra-tert-butyl-phthalocyanine (FePc(tBu)4), and its' naphthalocyanine derivative, iron(II) 2,11,20,29-tetra-tert-butyl-2,3-naphthalocyanine (FeNpPc(tBu)4), were evaluated as both oxygen (O2) reduction, and hydrazine (N2H4) oxidation electrocatalysts in acidic as well as basic media, respectively. Their UV-Vis spectra were compared, followed by surface wave cyclic voltammograms in a N2 purged acidic electrolyte. Their activities were compared to those of the unsubstituted or baseline FePc using rotating disk electrode (RDE), rotating ring disk electrode (RRDE) and cyclic voltammetry (CV) techniques. The resulting Tafel and Koutecky-Levich analyses confirmed the predicted activities towards both reactions to be FePc > FePc(tBu)4 > FeNpPc(tBu)4. However, a change in the FeNpPc(tBu)4 O2 reduction reaction (ORR) mechanism, as well as its' low activity towards N2H4 oxidation was also observed, demonstrating unexpected electronic and steric effects.

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 score0.049
Threshold uncertainty score0.458

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)0.0000.000

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 head0.025
GPT teacher head0.316
Teacher spread0.291 · 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

Citations7
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueECS TransactionsSame topicPorphyrin and Phthalocyanine ChemistryFrench-language works237,207