Kinetic Assessment of Catalysts for the Methanolysis of Sodium Borohydride for Hydrogen Generation
Bibliographic record
Abstract
The efficacy of metal chlorides and platinum-coated lithium cobalt oxide as catalysts for the methanolysis of sodium borohydride over 45 to −20 °C was investigated. Among the metal chlorides tested, cobalt chloride exhibited maximum activity. In the presence of metal chlorides, the methanolysis reaction exhibited first-order kinetics with respect to the borohydride concentration. The rate constant for methanolysis reaction at −20 °C for 10 wt% cobalt chloride was determined to be 0.00136 s −1, which represents an over 100 times increase compared to the kinetics of the noncatalyzed methanolysis reaction. Platinum-coated lithium cobalt oxide also exhibits a significant rate increase compared to uncatalyzed methanolysis reaction at at 20 °C; however, no measurable activity was noticed at −20 °C. Further, the reaction kinetics appear to be zeroth-order with respect to borohydride concentration. In addition to the rate enhancement, all potential catalysts tested in this study showed a significant reduction in the lag time to less than 5 min at all temperatures. The activity of both cobalt chloride and platinum-coated lithium cobalt oxide were examined over several cycles and both catalysts had a reduced activity after the first cycle; however, the rate of hydrogen generation remained stable for the subsequent cycles.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".