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Record W2332263824 · doi:10.1149/05312.0031ecst

Preparation and Characterization of Non-Precious Metal Fuel Cell Catalysts via Chemical Modification of Carbon Surfaces

2013· article· en· W2332263824 on OpenAlexafffund
Stephanie G. Mavilla, Brian J. MacLean, E. Bradley Easton

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsSt. Francis Xavier UniversityOntario Tech University
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Ontario Institute of Technology
KeywordsCatalysisCarbon blackCarbon fibersRedoxHydrogen peroxideSurface modificationPyrolysisInorganic chemistryChemistryPhenanthrolineMetalChemical modificationMaterials sciencePolymer chemistryOrganic chemistryComposite number

Abstract

fetched live from OpenAlex

Preparation of non-precious metal catalysts (NPMCs) via chemical surface modification of carbon black with 5,6-diamino-1,10-phenanthroline (aphen) was completed. A diazonium coupling reaction was used to covalently attach aphen to the carbon surface and ratios of aphen to carbon were varied. The impact of this loading on the oxygen reduction reaction (ORR) was investigated. Cyclic voltammograms (CVs) were obtained under nitrogen to assess the redox activity of the phenanthroline type groups on the surface. Peaks at approximately 611 mV versus standard hydrogen electrode appear for each material and become larger with increased loading of aphen. Introduction of iron followed by pyrolysis at 700 °C results in increased activity towards the ORR and decreased hydrogen peroxide production.

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 score0.104
Threshold uncertainty score0.324

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 head0.005
GPT teacher head0.195
Teacher spread0.190 · 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
Published2013
Admission routes2
Has abstractyes

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