Templated N-Doped Carbons for Energy Storage and Conversion
Bibliographic record
Abstract
Sustainable energy sources, energy storage and conversion devices are required to satisfy the global increase in energy demand and to minimize the environmental problems associated with the use of fossil fuels. Carbon materials are extensively used in supercapacitors, batteries, and fuel cells. For this reason, methods aimed at the development of new carbon materials, with high surface areas and tailorable surface chemistry has been an area of interest for the last couple of decades. More recently, heteroatom-doped carbons have obtained more attention due to the possibility of enhancing the catalytic activity of Pt as well as replacing Pt by non-noble metals, particularly N-doped carbons. In this study, mesoporous carbon (MC) materials were produced by carbonization of nitrogen-rich, melamine-formaldehyde (MF) polymer gels in the presence of SiO 2 nanoparticles as a hard-template. Carbon products (MF-NC) with up to 8 N-atom% and surface areas up to 440 m 2 /g were obtained depending on the SiO 2 content (20 nm) and annealing conditions (950°C or 1500°C). Pt/MF-NC were prepared by an impregnation method to evaluate the electrochemical performance of these modified carbon materials as catalyst supports. The incorporation of Fe was also considered to replace Pt as the catalyst, and preliminary stability and catalytic activity toward the oxygen reduction reaction (ORR) will be discussed in this paper.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".