Fullerenic particles for the growth of carbon nanowall-like flowers on multilayer graphene
Bibliographic record
Abstract
Carbon nanowalls (CNWs) are composed of stacks of planar graphene layers with open edges that grow almost vertically on a substrate. Their morphology makes them a promising material for field emission, batteries, light absorbers and enhanced detectors for electrochemical and gas sensors. However, three main challenges prevent the fast development of CNWs: the synthesis is energetically demanding, poorly transferable to suitable substrates, and the growth mechanism is not understood. Here, we present a simple method to grow carbon nanowall-like flowers on multilayer graphene through fullerenic particles using thermal CVD and copper. The hydrophobicity of the fabricated hybrid material facilitates its transfer to any substrate. Our findings can boost the understanding of the physical properties and the practical applicability of CNWs. At the same time, our work is a concrete example of the role of multilayer graphene as a platform to one-step synthesis of new transferable graphenic materials.
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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 | 0.001 | 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".