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Record W2175588575 · doi:10.1149/1.2356140

Co-C-N Oxygen Reduction Catalysts Prepared by Combinatorial Magnetron Sputter Deposition

2006· article· en· W2175588575 on OpenAlexaff
Ruizhi Yang, J. R. Dahn, Arman Bonakdarpour, E. Bradley Easton

Bibliographic record

VenueECS Transactions · 2006
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCatalysisSputter depositionDissolutionDeposition (geology)OxygenCavity magnetronChemistrySputteringThin filmMaterials scienceChemical engineeringNanotechnologyPhysical chemistryOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

Thin film libraries of CoxC1-x-yNy (0 < x < 0.106, 0.003 < y < 0.190) have been prepared by combinatorial magnetron sputter deposition and subsequent heat-treatment at 700, 800 and 1000{degree sign}C in N2. Libraries with 0 < x < 0.105 and 0.026 < y < 0.096 heat-treated at 800{degree sign}C show good catalytic activity towards the oxygen reduction reaction (ORR) in 0.1M HClO4 solution at room temperature. The catalytic activity of the CoxC1-x-yNy libraries is strongly dependent on the heat-treatment temperature. Heat-treated CoxC1-x-yNy libraries show good stability against Co dissolution in 0.5M H2SO4 at room temperature, suggesting that catalysts stable in the PEM fuel cell environment can be found.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.004
GPT teacher head0.202
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2006
Admission routes1
Has abstractyes

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