Facile synthesis of Ni-free CoFe2O4 nanoparticles on ordered mesoporous carbon as electrocatalysts for oxygen reduction reaction
Bibliographic record
Abstract
Non-precious metal-based electrocatalysts on carbon materials with high durability and low cost have been developed to ameliorate the oxygen-reduction reaction (ORR) for electrochemical energy applications such as in fuel cells. Herein, a series of Ni1-xCoxFe2O4 nanoparticles on ordered mesoporous carbon (MC) were synthesized by a mild, scalable hydrothermal method. With the absence of Ni element, the CoFe2O4 nanoparticles are well scattered in the mesoporous carbon with no aggregation. The CoFe2O4/MC nanohybrids possess the special mesoporous channels structure and the befitting uniform mesopore systems, which are rewarding to the enhancement of the electrocatalytic activity. Among the as-acquired samples, the Ni-free CoFe2O4 on MC nanohybrids (CoFe2O4/MC) shows the better catalytic activity for the oxygen reduction reaction (0.884 V onset potential) with a direct four-electron reaction pathway Moreover, superior durability and high methanol tolerance in alkaline media outperforms the commercial Pt/C electrocatalyst, which signifying its excellent potential for applications in alkaline fuel cells.
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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".