Effect of growing nanoparticle on the magnetic field induced filaments in a radio-frequency Ar/C <sub>2</sub> H <sub>2</sub> discharge plasma
Bibliographic record
Abstract
Abstract Growth of nanoparticles in plasmas is an emerging topic of research due to its numerous implications in industrial, and fusion plasmas applications. In this paper, effect of a magnetic field induced filaments on the growing nanoparticles and vice versa has been investigated. The experiment has been performed in a capacitive coupled radio-frequency Ar/C 2 H 2 discharge. The magnetic field affect the plasma dynamics and confined it within the electrodes. At a very high magnetic field ( B ≥ 1 T) a stationary or moving filamentary structures are formed between the electrodes that are aligned along the magnetic field. These filamentary structures are found to be suppressed during nanoparticle growth. A particle in cell simulation has been performed to understand the suppression of these filamentary structure.
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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".