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Record W2330615401 · doi:10.1149/05330.0265ecst

Perovskite Ba<sub>0.5</sub>Sr<sub>0.5</sub>Co<sub>0.8</sub>Fe<sub>0.2</sub>O<sub>3–δ </sub>as a Bifunctional Air Electrode for Zinc-Air Batteries

2013· article· en· W2330615401 on OpenAlexaff
Xiao‐Zi Yuan, Wei Qu, Jason Fahlman, Douglas G. Ivey, Xinge Zhang

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced battery technologies research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOxygen evolutionBifunctionalPerovskite (structure)Transmission electron microscopyMaterials scienceZincElectrodeOxygenInorganic chemistryElectrochemistryAnalytical Chemistry (journal)ChemistryCatalysisNanotechnologyMetallurgyCrystallographyPhysical chemistry

Abstract

fetched live from OpenAlex

Perovskite Ba 0.5 Sr 0.5 Co 0.8 Fe 0.2 O 3–δ (BSCF) powder was prepared through a sol-gel method and characterized by X-ray diffraction (XRD), Brunauer–Emmett–Teller (BET) analysis and transmission electron microscopy (TEM). The electrocatalytic properties of BSCF/C composites towards the oxygen reduction reaction (ORR) and the oxygen evolution reaction (OER) were studied using the rotating disk electrode (RDE) technique in 6 M KOH. The results showed that the synthesized perovskite BSCF exhibits activities for both ORR and OER, especially for OER. Cell tests demonstrated that the synthesized material reaches an ORR activity of 83 mAcm -2 at a potential of 0.9 V and an OER activity of 117 mAcm -2 at a potential of 2.2 V at about the 100 th cycle. With increasing cycle numbers, both OER and ORR activities had noticeable degradation.

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), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
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 score0.233
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0010.004
Open science0.0020.000
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0000.004

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 head0.011
GPT teacher head0.233
Teacher spread0.223 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2013
Admission routes1
Has abstractyes

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