Synthesis, Characterization, and Electrocatalytic Properties of Ultra Highly Densely Packed Carbon Sub-Micrometer Sphere Chains and Sheathed Carbon Microfiber Composites
Bibliographic record
Abstract
In this work, we introduce the on-substrate preparation and characterization of ultra highly densely packed sub-micrometer carbon of perfect sphericity and well-connecting to each other forming chainlike compounds. These carbon sub-microsphere (CSMS) chains are highly pure with no catalyst remaining encapsulated within their core as revealed by transmission electron microscopy. X-ray photoelectron spectroscopy survey revealed a surface concentration of carbon being of 97.68 at %, whereas micro-Raman assessment of their quality showed that they are of high graphitic structure. In addition, the static contact angle between a water droplet and the CSMS chains surface is about 151° indicating superhydrophobicity feature. Thermogravimetric analysis showed that CSMS chains are very resistant to oxidation up to 637 °C. Furthermore, the CSMS chains possess enhanced electronic transfer properties. Given these interesting physicochemical properties, the CSMS chains developed here present a distinctive opportunity for creating novel multifunctional composites for potential applications as high temperature structural composites, self-cleaning surfaces, and catalyst supports in energy conversion such as 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) | 0.000 | 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 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".