Polyaniline–carbon Nanotube Composites As Electrocatalysts for Fuel Cells
Bibliographic record
Abstract
Conducting polymers have been investigated as carbon-substitute supports for fuel cell catalysts due to their high accessible surface area, low resistance and high stability. Conducting-polymer-supported metal particles present higher tolerance to poisoning due to the adsorption of CO species, in comparison to the serious problem of tolerance of bulk and carbon-supported metals. Polyaniline(PANI)-carbon nanotube (CNT) composites indicate favourable interaction between PANI and CNTs. The CNT provides higher surface area and better electronic conductivity while PANI facilitates the electron transfer through the conducting matrix. The CNT content in these composites controls their conductive, mechanical, and thermal properties. In this work, we have synthesized PANI-CNT composite using stablizer. The structure and properties of the composites have been studied. the electrochemical performance of the composites have been carried out.
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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 | 0.001 | 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".