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Record W2509265160 · doi:10.1149/07514.0955ecst

Developing Cobalt Doped Pr<sub>0.5</sub>Ba<sub>0.5</sub>MnO<sub>3-δ</sub> Electrospun Nanofiber Bifunctional Catalyst for Oxygen Reduction Reaction and Oxygen Evolution Reaction

2016· article· en· W2509265160 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Transactions · 2016
Typearticle
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOverpotentialCatalysisBifunctionalElectrospinningMaterials scienceNanofiberOxygen evolutionChemical engineeringCobaltPerovskite (structure)ElectrochemistryInorganic chemistryChemistryNanotechnologyComposite materialElectrodePhysical chemistryMetallurgyOrganic chemistry

Abstract

fetched live from OpenAlex

The porous nanofiber Co doped Pr 0.5 Ba 0.5 MnO 3-δ (PrBaMnO) was successfully synthesized through electrospinning technology and served as a bifunctional catalyst for the oxygen reduction reaction (ORR) and oxygen evolution reaction(OER). The catalytic activities of the composite catalyst consisting of 50 wt% perovskite catalyst and 50 wt% carbon black (CB) was investigated in alkaline solution. Comparing to the PrBaMnO parent perovskite, remarkable enhancement of ORR and OER performance were achieved on Pr 0.5 Ba 0.5 MnCo 0.2 O 3-δ with respect to decreased overpotential and increased current density. A maximum current density of 19.4 mA cm -2 was achieved at 1.95 V (versus. RHE) on Co doped Pr 0.5 Ba 0.5 MnO 3-δ electrospun nanofiber/CB composite catalyst in OER. In addition, a preferable four electron transfer pathway was demonstrated in the ORR process. All the electrochemical test results suggest the promising application of Co doped Pr 0.5 Ba 0.5 MnO 3-δ electrospun nanofiber/CB composite as an efficient bi-functional catalyst on fuel cells and metal-air batteries.

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.

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
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 score0.191
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.212
Teacher spread0.201 · 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