Fundamental Aspects of Mechanical Dehydrogenation of Li- Based Complex Hydride Nanocomposites and Their Self-Discharge at Low Temperatures
Bibliographic record
Abstract
Large quantities of hydrogen (H2) are released at ambient temperatures as a result of mechanical dehydrogenation during ball milling of complex hydride composites such as (LiAlH4+5 wt.% nanometric Fe), (nLiAlH4+LiNH2; n=1, 3, 11.5, 30), (nLiAlH4+MnCl2; n=1, 3, 8, 13, 30, 63) and (LiNH2+nMgH2; n=0.5-2.0). For both the (nLiAlH4+LiNH2) and (LiAlH4+5 wt.% nanometric Fe) composites the second constituent strongly destabilizes LiAlH4 during milling by different mechanisms. For (nLiAlH4+MnCl2) two concurrent mechanisms are observed: (i) a reaction between both constituents during ball milling leading to the formation of LiCl, amorphous Mn and H2, and (ii) a catalytic-like induced decomposition of LiAlH4 into Li3AlH6, Al and H2. For the (LiNH2+nMgH2; n=0.5-2.0) composite system, the pathway of hydride reactions depends on the molar ratio n and total milling energy consumed during ball milling. Some composite systems slowly self-discharge H2 at room temperature (RT), 40 and 80 °C, after ball milling with an additive. Technical parameters such as specific energy-usable are estimated for LiAlH4-based complex hydride composite systems and are compared with both US DOE hydrogen powered car targets and Li-ion batteries benchmarks.
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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 | 0.000 | 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) | 0.000 | 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".