Optical and Mechanical Properties of Europium-Doped Silicon Nitride Thin Films Deposited by ECR-PECVD with Magnetron Sputtering
Bibliographic record
Abstract
Optical and mechanical properties of europium (Eu)-doped silicon nitride (SixNy) films were investigated as a function of the sputtering power applied to the Eu metal target and argon flow into the deposition chamber. Films were fabricated by an electron cyclotron resonance plasma-enhanced chemical vapor deposition (ECR-PECVD) system combined with magnetron sputtering for in situ rare-Earth doping. Results show that Eu-doped SixNy films fabricated with higher sputtering power exhibit intense red emission when annealed above 1000 °C, making the luminescence visible under daylight conditions. Variable-angle spectroscopic ellipsometry analysis shows that the refractive index and film thickness are strongly dependent on the sputtering power; however, argon (Ar) flow has minimal influence. High-resolution X-ray diffraction reveals that the crystalline phases in the films play a crucial role in efficient Eu emission. Additionally, the films show increased hardness, up to 18 GPa, and an elastic modulus of 160 GPa, ensuring their durability and performance as cladding layers in photonic devices. These mechanical properties are essential for maintaining structural integrity and preventing defects, which are critical for the reliability of optoelectronic devices. The combination of strong emissions and good mechanical properties make Eu-doped SixNy films suitable for optoelectronic and solar cell applications, where both efficient light emission and material stability are essential.
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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".