Direct Redox Deposition of Manganese Oxide on Multiscaled Carbon Nanotube/Microfiber Carbon Electrode for Electrochemical Capacitor
Bibliographic record
Abstract
Manganese oxide was synthesized by direct reduction of ions on microfibrous carbon paper (CP) and a multiscaled substrate, which consists of microfibrous CP coated with carbon nanotubes. This process is much simpler than that used for the formation of composite electrode. Scanning electron microscopy and energy dispersive X-ray analysis revealed that the multiscaled carbon nanotube/microfibrous CP is efficient for the reduction of ions that leads to the direct formation of . The capacitive behavior of the composite manganese oxide/CP composite and the multiscaled carbon nanotube/microfibrous CP nanocomposite electrode was characterized by cyclic voltammetry in neutral aqueous electrolyte (e.g., ) aqueous solution. The specific capacitance of the nanocomposite is as high as in comparison to that one of , which is . The electrochemical impedance spectroscopy technique showed that the multiscaled nanocomposite electrode is characterized by a good electrical conductivity and an excellent electrical contact between the active material and the current collector.
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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".