Spectroscopic Investigation of the Synthesis of Thin Silicon Nitride Films on Silicon Single-Crystal Wafers via Ammonia-Assisted Pyrolysis of Organosilicon Polymers
Bibliographic record
Abstract
Thin layers of a -Si 3 N 4 were synthesized by the pyrolysis of thin films of poly(methylsilane) (PMS) and poly(dimethylsilane) (PDMS) spin-coated on silicon single-crystal wafers and via deposition of the volatile species resulting from the thermal cracking of the bulk precursor in the presence of ammonia. The process was monitored by FT-IR spectroscopy. The reaction between NH 3 and PMS begins at 200 °C with the slow production of a slightly cross-linked product involving Si 3 N knots. Extensive amination of PMS occurs on pyrolysis at 300 °C, under 5−10 Torr NH 3 overpressure. The product exhibits IR bands characteristic of both a silazane and an aminosilane species, which are presumably formed by Si−H and N−H heterodehydrocoupling. Between 200 and 450 °C, this cross dehydrocoupling reaction competes very effectively with the Kumada rearrangement. Significant loss of carbon occurs from the resulting poly(carbosilazane) between 500 and 600 °C. Prolonged curing under NH 3 at 300 °C, to remove all Si−H groups and to give a densely cross-linked polysilazane, suppresses the Kumada rearrangement, and negligible carbon loss occurs on raising the pyrolysis temperature to 700 °C. Although the main product is still a -SI 3 N 4, there is an increased amount of residual carbon.
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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".