NiMo Nanoparticles Electrodeposited by Pulsed Current and Their Catalytic Properties for Hydrogen Production
Bibliographic record
Abstract
The electrocatalytic activity of NiMo nanoparticles (NPs) fabricated by means of current pulses from a binary electrolyte was characterized using cyclic voltammetry. The pulse current density, jpulse, was varied in the range of 7 to 430 mA/cm2, whereas the pulse time, tpulse, was kept constant at two seconds. Mean NP size, Dmean, ranged within 27 and 38 nm at jpulse values between 15 and 140 mA/cm2; with Dmean increasing as jpulse was higher. NP dispersion (i. e., number of objects per unit area of substrate) was lower when jpulse values were also low (15 and 35 mA/cm2), which showed consistency with a promoted nuclei formation and prolonged NP growth at higher jpulse values. An improved catalytic performance for hydrogen evolution was determined upon increasing jpulse in the range of 7 to 70 mA/cm2 and remaining practically unvaried at higher jpulse values. The electrosynthesis of two distinct catalytic materials was indicated by electrochemical characterization of deposits; the material with greatest catalytic activity also showed high instability, causing a dramatic decay (~80%) in the activity after two consecutive cycles of operation. Ni and Mo content in electrodeposits were both sensitive to variations in jpulse.
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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 | 0.000 | 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) | 0.001 | 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".