Effect of Co Addition in Amorphous Ni-Based Alloys for the Alkaline Oxygen Evolution Reaction
Bibliographic record
Abstract
An amorphous alloy Ni 74.2 Co 5 Nb 12.5 Y 8.3 was synthesized using cryogenic mechanical alloying and evaluated as a catalyst for the oxygen evolution reaction (OER) in alkaline media using cyclic voltammetry and Tafel measurements. Electrochemical testing showed that the amorphous alloy possessed a lower Tafel slope and enhanced kinetics for the OER compared to crystalline Ni and Ni 95 Co 5 . Anodic cycling of the amorphous alloy resulted in a lower onset potential for the OER and decreased Tafel values while no changes were observed for crystalline Ni 95 Co 5 . Pairing of in situ confocal Raman spectroscopy with anodic cycling showed that the amorphous alloy formed reversible hydrous Co oxy/hydroxides instead of irreversible CoO 2 typically seen on crystalline NiCo alloys in KOH. The formation of hydrous Co oxy/hydroxides upon cycling was also accompanied by increased formation of β-NiOOH leading to enhanced catalytic performance of the amorphous alloy over the crystalline counterparts.
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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".