Hydrogen Storage Properties of Melt Spun Mg-Based Alloy through Electrochemical Method for Ni-MH Batteries
Bibliographic record
Abstract
Magnesium-based alloys have attracted much attention and extensive research as negative electrode materials for Ni/MH batteries. Magnesium alloys are low cost and they have high discharge capacity in electrochemical processes1. However, corrosion behaviour severely limits their utilization. Magnesium alloys are also considered as hydrogen storage materials due to their high hydrogen capacity. In this communication, the crystallographic, morphology and electrochemical properties of melt spun Mg74Zn22Nd4 will be reported. It was found that, despite the ribbon being very thin (0.10 mm), the microstructure on each side of the ribbon is different. The surface touching the wheel is showing a much higher crystallinity and texture than the other face of the ribbon. In the same way, morphology on both faces are different. The electrochemical hydrogen storage behaviour in addition to gas phase absorption/desorption will be discussed. [1] Li-FangJiao, Hua-TangYuan, Yi-JingWang, Yong-MeiWang, International Journal of Hydrogen Energy. 34 (2009) 1476–1482
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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".