X-Ray Diffraction Study of Stress in a Magnesium-Hydrogen System Produced by High-Energy Milling of Powders
Bibliographic record
Abstract
There is great interest in metal-hydrogen systems. When small amounts of hydrogen are absorbed by elemental metals and alloys, the engineering materials made of the systems exhibit strong changes in their physical and mechanical properties. These changes, and hydrogen embrittlement, can be considered detrimental to the structural performance of the materials. However, the changes, often studied by metallurgists and metal physicists, can present new possibilities and applications. An example is the interest in safe, solid-state hydrogen storage in metallic lattices. The effect of elasto-plastic deformation on hydrogen sorption in light metals and hydrides has been studied in an MTL project. It has been observed that high-rate impacting of pure magnesium has an effect on hydrogen storage capacity. Furthermore, analysis of the state of residual stress performed by X-ray diffraction method for the first time in such high-rate, milled materials, indicates a very complex stress distribution dependent on the time of milling. The milling in increments of 10 minutes from 0, original un-milled material, to 30 minutes, indicates extensive changes in the stress states.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".