Synergistic Effect of Vanadate and Nanoclay Hybrid Inhibitor on the Self-Corrosion and Discharge Activity of Al Anode in Alkaline Aluminum-Air Batteries
Bibliographic record
Abstract
The inherent safety and low cost of aqueous aluminum-air (Al-air) batteries have attracted significant attention. However, their lifespan is constrained due to the formation of passive layers and severe self-corrosion of the Al anode. This work addresses the Al anode issues using an innovative design strategy by adding vanadate and nanoclay to modify the interaction of Al and electrolyte. The results have shown that adding each vanadate, nanoclay, and a hybrid combination of both reduced Al anode corrosion considerably. However, the hybrid additive provided the highest inhibition efficiency of 72.6% compared to 57.6% for vanadium and 69.8% for nanoclay. The anode’s anodic efficiency and capacity density reached 81.4% and 2426 mAh.g −1 using a hybrid inhibitor. Electrochemical and microscopical analysis indicated that the corrosion inhibition of the additives was attributed to a protective film formed on the Al anode surface. Therefore, this technique has the potential for application in Al-air batteries to increase their lifespan by increasing the inhibition efficiency of the Al anode.
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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 | 0.001 | 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".