Polypyrrole and Polythiophene Modified Carbon Nanotube‐Based Cathode Catalysts for Anion Exchange Membrane Fuel Cell
Bibliographic record
Abstract
Abstract The development of non‐precious metal cathode catalysts for anion exchange membrane fuel cells (AEMFC) is beneficial for achieving a more affordable and sustainable H2 economy. Herein, we propose a polypyrrole, polythiophene, and multi‐walled carbon nanotube‐based composite material (PPy/PTh/MWCNT) for the electrocatalysis of oxygen reduction reaction (ORR) at the AEMFC cathode. The PPy/PTh/MWCNT catalyst has a tubular micro‐mesoporous structure with high specific surface area. The elemental composition of the catalyst's surface was studied by X‐ray photoelectron spectroscopy. In 0.1 M KOH solution, the ORR half‐wave potential is −0.16 V (SCE) and the electron transfer number is 4. In a single‐cell AEMFC, the PPy/PTh/MWCNT catalyst exhibited a maximum power density of 284 mW cm−2, which is 86 % of the value obtained using commercial Pt/C cathode catalyst under the same testing conditions.
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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".