Pd-decorated three-dimensional nanoporous Au/Ni foam composite electrodes for H<sub>2</sub>O<sub>2</sub>reduction
Bibliographic record
Abstract
Nanoporous gold (NPG) films were fabricated on Ni foam substrates via a two-step procedure which involves electrodeposition of Au–Sn alloy films on the Ni foam surface, followed by selectively leaching the Sn component through a chemical dealloying process. Pd nanoparticles were then electrochemically deposited on the NPG/Ni foam electrode. The morphology of the Pd-decorated NPG/Ni foam composite electrode (Pd@NPG/Ni foam) was characterized by scanning electron microscopy (SEM). The catalytic activity of the Pd@NPG/Ni foam composite electrode toward H2O2 electroreduction in acid media was evaluated by means of linear scan voltammetry and chronoamperometry. The Pd@NPG/Ni foam composite electrode exhibited high activity and excellent stability for the H2O2 electroreduction, generating a current density of 178 mA cm−2 at 0 V in a 0.5 M H2SO4 + 0.6 M H2O2 electrolyte, in comparison to 98 mA cm−2 on the Pd@Ni foam electrode and 36 mA cm−2 on the NPG/Ni foam electrode. The developed three-dimensional (3D) hierarchical porous Pd@NPG/Ni foam can therefore be considered as a promising type of electrode for fuel cell applications.
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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 | 0.001 | 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".