A Bifunctional Air Electrode Catalyzed by Lead Ruthenate for Li-Air Batteries
Bibliographic record
Abstract
The performance of a catalyst enforced commercially available gas diffusion layer (GDL) electrode was evaluated at different discharge rates and depths in non-aqueous Li-O2 batteries. The lead ruthenate (PbRuO) powder with a pyrochlore structure was employed as the catalyst. The lead ruthenate pyrochlore was prepared using a direct soft template method and characterized by X-ray diffraction (XRD), nitrogen physisorption techniques and transmission electron microscopy (TEM). The charge/discharge capabilities of the PbRuO/Ketjenblack (KB) composite were studied in tetraethyleneglycol dimethyl ether (TEGDME) containing 1M lithium triflate. The results show that PbRuO/KB can enhance the cell performance at high charge/discharge rates. Moreover, at a current density of 0.1mA/cm2 it significantly increases the cell cyclability. With a cut-off capacity of 1000 mAh/g (PbRuO/KB only) the cell reached 100 cycles. As such, lead ruthenate has the potential to be used as an efficient bifunctional electrocatalyst for non-aqueous Li-O2 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 | 0.001 |
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.
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".