Electrochemical Activation of Metal Hydride Alloy by Inclusion of Nickel and Palladium Nanoparticles
Bibliographic record
Abstract
Nickel and palladium nanoparticles were obtained by colloidal dispersion. Chemical reduction was used to obtain good quality nanoparticles showing electrocatalytic characteristics for improving the electrochemical hydrogen content in typical metal hydride at the initial stage of absorption process. The particle size and distribution of the colloidal nanoparticles were calculated by analyzing TEM images. The colloidal nanoparticles obtained were impregnated onto LaNi5-xMx type metal hydride alloy via catalytic dipping. The impregnated metal hydride alloy was characterized by SEM, AFM and EDS to obtain quasi-quantitative measurements of the position and concentration of the agglomerated colloidal nanoparticles forming nano-clusters onto de surface of the metal hydride alloy. Electrochemical characterization showed the enhancement of absorbed hydrogen content in the metal hydride due to the presence of agglomerated nanoparticles and the localized catalytic activity of Pd more than that of Ni nano-clusters.
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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 | 0.000 | 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".