Structure-Modified Stress Dynamics and Wetting Characteristics of Carbon Nanotubes and Multilayer Graphene for Electron Field Emission Investigations
Bibliographic record
Abstract
In the present work, feasibility of achieving enhanced electron field-emission properties of stress-induced carbon nanotubes (CNTs) and multilayer graphene (MLGs) by ion modification is studied. Micro-Raman spectroscopy is used as a potent technique for in-depth investigations of stress-induced CNTs and MLGs. It is found that iron used as a catalyst, compresses at particular fluence and induces stresses in CNTs and MLGs to modify these structures, supported by high-resolution transmission electron microscopy (HRTEM) studies. The stresses are explained by the buckling wavelength (λ ∝ e((r/t)0.5)). Furthermore, the stresses induced in exotic nanostructures are studied for investigating wetting properties, which are well-corroborated with electron emission characteristics. It is found out that less-wetted CNTs and MLGs display enhanced emission properties with turn-on voltages (Eon) of 1.5 and 2.1 V/μm, respectively, in comparison to hydrophilic CNTs and MLGs with Eon of 2.6 and 4 V/μm, respectively.
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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".