Design and fabrication of non‐noble metal catalyst‐based air‐cathodes for metal‐air battery
Bibliographic record
Abstract
Abstract In this paper, cost‐effective non‐noble metal catalyst‐based air‐cathodes are designed, developed, and fabricated for a metal‐air battery, particularly in a non‐toxic neutral solution environment (sodium chloride). The air‐cathode and its fabrication method comprise two gas diffusion layers (GDLs) bonded on to each side of the current collector (nickel mesh) by a rolling method, and a catalyst layer bonded on one GDL by a spraying method. The GDL paste consists of carbon powder and hydrophobic chemicals, and the catalyst layer contains non‐noble metal catalyst, carbon powder, and hydrophilic chemicals. Several characterization techniques such as DTA/TG thermal analysis, electrochemical impedance spectroscopy, linear sweep voltammetry, and their associated theories are used to understand the properties and performance of the developed air‐cathodes. The advantages of the current method of forming the air‐cathode can decrease the internal electronic resistance and gas flow restriction of the system, and therefore increase air permeability as well as water transportation to the reaction sites. By using such an integrated structure of an air diffusion cathode, the cost‐effectiveness in terms of materials and manufacturing compared to the commercial air‐cathode, and the overall fabrication procedure is achieved, and the method can be easily transferred into a continuous industrial manufacturing process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".