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Record W2090564729 · doi:10.1149/1.2949092

Fuel Cell Studies on a Non-Noble Metal Catalyst Prepared by a Template-Assisted Synthesis Route

2008· article· en· W2090564729 on OpenAlexafffund
Arnd Garsuch, Kathryn MacIntyre, Xavier Michaud, David A. Stevens, J. R. Dahn

Bibliographic record

VenueJournal of The Electrochemical Society · 2008
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsDalhousie University
FundersDalhousie University
KeywordsCatalysisDurabilityMaterials scienceNoble metalMesoporous materialChemical engineeringElectrodeOxygenPolarization (electrochemistry)Oxygen reduction reactionFuel cellsMetalHydrogenPlatinumElectrochemistryInorganic chemistryChemistryComposite materialMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

The catalytic activity of a templated catalyst material (Fe–N–C), prepared using , pyrrole, and a mesoporous silica gel as template, was investigated. The oxygen reduction reaction activity of the catalyst material was measured using the rotating ring-disk electrode technique, revealing an onset potential of about 0.85 V vs a reversible hydrogen electrode. The catalytic activity of the prepared sample was also tested in a fuel cell for different catalyst loadings using oxygen or air atmospheres. Fuel cell polarization measurements were recorded at . The power densities varied between 0.032 and for different catalyst loadings when oxygen was used. In addition, durability tests were carried out by keeping the cell at 0.6 V for 16 h. The current densities decayed to about 25% of the initial value during this period. The results are compared to state-of-the-art results from the literature. The templated catalyst shows comparable activity to the best catalysts in the literature but its durability requires improvement.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.229
Teacher spread0.216 · 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

Citations38
Published2008
Admission routes2
Has abstractyes

Explore more

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