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Record W2327368792 · doi:10.1149/1.3507926

Electrocatalytic Activities of Perovskite toward Oxygen Reduction Reaction in Concentrated Alkaline Electrolytes

2010· article· en· W2327368792 on OpenAlexaff
Xiaoxia Li, Wei Qu, Jiujun Zhang, Haijiang Wang

Bibliographic record

VenueECS Transactions · 2010
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsElectrolyteElectrodeElectrochemistryChemistryElectron transferPerovskite (structure)Carbon fibersInorganic chemistryRotating disk electrodeComposite numberCatalysisChemical engineeringMaterials sciencePhysical chemistryCyclic voltammetryComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Perovskite La0.6Ca0.4CoO3 powder was prepared through a sol-gel method and characterized by XRD and BET. The electrocatalytic properties of La0.6Ca0.4CoO3 (LCCO) and La0.6Ca0.4CoO3-Carbon composite (LCCO-C) based electrode layers towards oxygen reduction reaction (ORR) were studied using rotating ring-disk electrode technique (RRDE) in 1, 4, and 6 M KOH electrolytes. Koutechy-Levich theory and RRDE measurement were applied to acquire the overall electron transfer number and kinetic parameters, such as the kinetic currents and rate constants. The overall electron transfer number was measured to be almost 4 for both pure LCCO and composite LCCO-C. A synergetic effect toward the ORR was observed in the LCCO electrode layer in the presence of carbon. This synergetic effect might be one of the reasons for the improved ORR performance on the composite LCCO-C electrode.

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 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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.007
GPT teacher head0.219
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.

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
Published2010
Admission routes1
Has abstractyes

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