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
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".