Nanomaterials for Hydrogen Storage Produced by Ball Milling
Bibliographic record
Abstract
AbstractAbstractThree methods of hydrogen desorption temperature reduction and desorption kinetics improvement of nanostructured hydrides processed by mechanical (ball) milling are discussed. The first method is based on a simultaneous particle size refinement of MgH2 hydride and the formation of an unstable γ-MgH2 phase. The second method utilizes catalytic effects of nanometric Ni (n-Ni) additives. The third method is based on the compositing of nanohydride mixtures such as NaBH4+MgH2 and MgH2+LiAlH4 where the first hydride in a pair has higher decomposition temperature than the second one. The low decomposition temperature hydride results in the destabilization of the high temperature constituent hydride.Three methods of hydrogen desorption temperature reduction and desorption kinetics improvement of nanostructured hydrides processed by mechanical (ball) milling are discussed. The first method is based on a simultaneous particle size refinement of MgH2 hydride and the formation of an unstable γ-MgH2 phase. The second method utilizes catalytic effects of nanometric Ni (n-Ni) additives. The third method is based on the compositing of nanohydride mixtures such as NaBH4+MgH2 and MgH2+LiAlH4 where the first hydride in a pair has higher decomposition temperature than the second one. The low decomposition temperature hydride results in the destabilization of the high temperature constituent hydride.On discute de trois méthodes de réduction de la température de désorption de l'hydrogène et d'amélioration de la cinétique de désorption d'hydrures nanostructurés traités par broyage à boulets. La première méthode est basée sur un raffinement simultané de la taille de particule de l'hydrure MgH2 et la formation d'une phase instable de γ-MgH2. La seconde méthode utilise les effets catalytiques d'additifs de Ni nanométrique (n-Ni). La troisième méthode est basée sur la composite de mélanges de nanohydrures tels que NaBH4+MgH2 et MgH2+LiAlH4 où le premier hydrure de la paire a une plus haute température de décomposition que le second. L'hydrure à basse température de décomposition résulte en la déstabilisation de l'hydrure constituant de haute température.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 0.001 |
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".