Tuning Overall Water Splitting on an Electrodeposited NiCoFeP Films
Bibliographic record
Abstract
Abstract The regulation of geometric and electronic structures is very important to transition metal phosphides with high catalytic properties. Herein, nanofilms consisting of NiCoFeP nanospheres were electrochemically deposited onto 3D Ni foam for the catalysis of water splitting. Depending on the amount of iron, the NiCoFeP nanocatalysts exhibit different surface topographies and chemical binding energies, which have a great influence on electrochemical performances. The optimal NiCoP‐0.01 M Fe films show robust bifunctional electrocatalytic activities with an overpotential of 118 mV (10 mA cm−2) for the hydrogen evolution reaction (HER) and 300 mV (50 mA cm−2) for the oxygen evolution reaction (OER). The overall water splitting employing this proposed nanocatalyst at both electrodes only presents a cell voltage of 1.60 V at the current density of 10 mA cm−2, far lower than that (1.73 V) with the commercial Pt/C cathode and RuO2 anode combination.
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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".