Hydrogen Bubble Templating of Fractal Ni Catalysts for Water Oxidation in Alkaline Media
Bibliographic record
Abstract
Dynamic hydrogen bubble templating of Ni (Ni DHBT ) electrodes was used to prepare highly porous films with enhanced properties toward the oxygen evolution reaction (OER). Upon varying the electrodeposition conditions, Ni films with a macroporous primary structure and highly porous cauliflowerlike secondary structure were formed. These films are able to develop an extended electrochemically active surface area, up to 270-fold increase compared to a Ni plate. They exhibit stable overpotential (η 250 = 540 mV) at j = 250 mA cm geometric –2 in 1 M KOH electrolyte, which is 300 mV less positive than at the Ni plate. Fe incorporation onto these Ni DHBT structures can further lower OER overpotentials to η 250 = 310 mV. Ni DHBT films are remarkably stable over prolonged polarization and are characterized by a low Tafel slope (29 mV/decade) that extends up to j = 100 mA cm geometric –2, attributed to both superaerophobic characteristics with a contact angle of ca. 160° between the surface and an air bubble and superhydrophilic characteristics with less than 25° between the surface and a water droplet.
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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) | 0.000 | 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 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".