Gas Sensor Construction from Cu₃N Thin Films
Bibliographic record
Abstract
In this study, Cu₃N films were formed on glass substrates at room temperature using Ar + N₂ working gas discharges to generate Cu₃N films on glass substrates at ambient temperature.Cu₃N particles were created using a DC magnetron sputtering technique.A thorough investigation was conducted into the sensitivity of Cu₃N generated in this manner to NO₂ and NH₃ gases at various temperatures.The results show that the synthesized product exhibits high sensitivity and fast response/recovery time at an ambient temperature of 200℃.Furthermore, compared to the comparable particles, the Cu₃N sheets exhibit a greater sensitivity to NO₂ gas.Cu₃N plates have the potential for sensor applications, as demonstrated by this.The best film for sensing the oxidizing gas (NO₂) was copper nitride, which showed that the sensitivity was equal to 37.78% at a temperature of 200℃, and the spray deposition energy was also 0.05 mJ.While for the reducing gas (NH₃), the sensitivity of the copper nitride film was 26.88% at a temperature of 200℃.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".