Enhanced Hydrolysis Performance of Al-Li-Ni3Sn2 Composites for Hydrogen Generation and Relative Mechanism
Bibliographic record
Abstract
The Al-Li-Ni3Sn2 composites were prepared via milling method and their hydrolysis performance was presented in the paper. The milled Al-Li-Ni3Sn2 composites showed high hydrolysis performance at 30-600C, especially that Al-3.5wt%Li-20wt%Ni3Sn2 composite had 100% and 1103 ml hydrogen/g of hydrogen yield within 20 min at 500C.The hydrolysis performance improvement of Al-Li-Ni3Sn2 composite was due to the addition of Ni3Sn2 while Ni3Sn2 combined with Al and formed nano structure of Ni-based alloys deposited on the surface of Al. The structure of Al-(Ni alloy) could act as active sites in the hydrolysis process because the milled products such as AlNi, Al-NiSn and Al- Ni3Sn2 had high electrochemical activity in the hydrolysis process. Therefore, Al-Li-Ni3Sn2 composites were a potential hydrogen source for fuel cell.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 | 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".