Facile Synthesis of a Porous Pd/Cu Alloy and its Enhanced Performance toward Methanol and Formic Acid Electrooxidation
Bibliographic record
Abstract
Abstract Reported is a porous Pd/Cu alloy catalyst synthesized by a one‐pot method, in which the Pd/Cu alloy is formed by using l‐ascorbic acid as reducing agent to simultaneously reduce the copper precursor and the palladium precursor. The copper incorporated with Pd can reduce the cost of the catalyst and enhance the catalytic performance. The morphology of the Pd/Cu alloy catalyst can be controlled by altering the ratios of Pd to Cu. Electrochemical characterizations indicate that Pd/Cu alloy catalysts possess good activity and long‐term stability for the electrooxidation of methanol and formic acid. Compared with commercial Pd/C, the as‐prepared Pd65Cu35 shows enhanced activities of electrooxidation of methanol and formic acid. This study highlights an easy strategy to obtain the shape‐controlled Pd/Cu alloyed catalysts and their potential application as electrocatalysts in fuel cells or other fields.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".