NH<sub>3</sub> dissociation along the gas flow lines of Ar–NH<sub>3</sub> dielectric barrier discharges and its effects on global and local properties
Bibliographic record
Abstract
Abstract This paper examines the effects of NH3 dissociation on the physics driving low frequency dielectric barrier discharges operated in Penning Ar–NH3 gas mixtures. Optical emission and absorption diagnostics in combination with current–voltage characteristics are used to probe the global (averaged over the whole discharge zone) and local (at a given position along the gas flow lines) properties as a function of the gas flow rate. When the gas flow rate is sufficiently high, NH3 does not remain in the discharge zone long enough to be significantly dissociated and thus to have a significant impact on the discharge; hence, the characteristics are those of a typical glow discharge operated in a Penning mixture along the entire electrode length. When the gas flow rate decreases, the gas residence time in the discharge region increases such that NH3 becomes strongly converted to reaction products other than those leading to Penning ionization. This leads to a glow discharge only over a limited length of the electrode zone near the entrance, with no further breakdown towards the exit. The perceived effects on the discharge properties become significant if the overall behavior is considered, but on a local scale, the populations of Ar(1s5), Ar(2p), and H2(a) states deduced from optical diagnostics are only weakly modified. Using Ar(1s5) measurements and the predictions of a 1D fluid model, values of the degree of NH3 dissociation at two gas residence times are estimated. From such analysis, it is highlighted that the discharge can remain in a diffuse mode even when the quantity of NH3 is much lower than the one in the injected gas mixture.
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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".