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Record W2978219987 · doi:10.1149/09208.0523ecst

Effect of Carbon Support on Fe-N<sub>3</sub>/C Model Active Site for the Oxygen Reduction Reaction

2019· article· en· W2978219987 on OpenAlexaff
Holly M. Fruehwald, Olena V. Zenkina, E. Bradley Easton

Bibliographic record

VenueECS Transactions · 2019
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsMicroporous materialOxygenCatalysisThermogravimetric analysisCarbon fibersMoietyOxygen reduction reactionCarbon blackActive siteChemistryInorganic chemistryPorosityTerpyridineMaterials scienceCatalyst supportMetalChemical engineeringOrganic chemistryPhysical chemistryComposite materialElectrochemistry

Abstract

fetched live from OpenAlex

We report on an investigation of the role carbon support has on a model non-precious metal catalyst for the oxygen reduction reaction (ORR) prepared through molecularly defined terpyridine moiety covalently embedded into high surface area carbon support (Black Pearls 2000) is reported. A terpyridine modified catalyst was previously prepared and allowed for the controlled deposition of one specific and unique N3/C active site on the surface of the support. The effect of changing the porosity of the carbon was analyzed for its oxygen reduction activity and characterized using thermogravimetric analysis, pore size determination, and rotating disk measurements. This system showed that by using a more microporous support, the activity for the oxygen reduction reaction decreased due to different active sites forming on the high surface area support.

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 score0.106
Threshold uncertainty score0.760

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 head0.006
GPT teacher head0.218
Teacher spread0.212 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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