Structure and Electrochemical Hydrogen Storage Properties of Mg-Ti Based Materials Prepared by Mechanical Alloying
Bibliographic record
Abstract
High energy ball milling was used to prepare Mg100-xTix -10 wt.% Pd compounds, with x ranging from 20 to 80. X-ray diffraction analyses combined with Rietveld refinement shows that the as-milled compounds are made of a mixture of hcp and bcc phases in various proportions depending on the Mg/Ti ratio in the initial mixture. The electrochemical hydrogen absorption capacities of these compounds were assessed in KOH electrolyte. The number of activation cycles and the maximum discharge capacity value are strongly dependant on the material composition. The highest hydrogen discharge capacity (475 mAh g-1) is obtained with Mg50Ti50-10 wt.% Pd compound. Upon hydrogenation, the crystalline structure of the compound evolves into an fcc phase with a lattice parameter of 4.40 Aå.
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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".