Surface Structure Dependence of Electrochemical Processes at Monocrystalline Nickel Electrodes. Part 2: The Hydrogen Oxidation Reaction
Bibliographic record
Abstract
Nickel single crystals grown with the innovative Controlled Atmosphere Flame Fusion (CAFF) technique are used to study the hydrogen oxidation reaction (HOR) on high-quality Ni(111), Ni(100), and Ni(110) electrodes. Cyclic voltammetry (CV) profiles are acquired in both N 2 -saturated and H 2 -saturated 0.10 M aqueous NaOH solution and compared. Linear sweep voltammetry (LSV) measurements conducted at a very low potential scan rate ( s = 0.10 mV s –1 ), which ensures steady-state conditions, are performed in the anodic and cathodic directions, from which Tafel plots are constructed and the exchange current density ( j 0 ) and Tafel slope ( b ) are determined. The resulting Tafel plots are unique to each monocrystalline electrode and also depend on the scan direction; thus, the surface arrangement of atoms and the pretreatment of the electrode influence the values of j 0 and b . CV measurements are used to analyze the surface of the Ni(hkl) electrodes after the HOR and to determine if the process brings about any surface-structural changes. An analysis of the CV profiles leads to the conclusion that the long-range atomic order of the Ni(hkl) electrodes becomes disturbed. This study marks the first ever comprehensive investigation of the HOR on Ni(hkl) electrodes, hence its originality and importance.
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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 | 0.001 | 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".