An Optimal Energy Window of Silica Deposition Revealed by Reactive Molecular Dynamics Simulations
Bibliographic record
Abstract
The preparation of silica film is of paramount importance in the field of microelectronics. Nevertheless, the energy-dependent deposition mechanism of the silica film remains unclear, waiting to be fully elucidated. This study systematically investigated the deposition behavior and microstructural characteristics of silica films using reactive molecular dynamics (RMD) simulations with the incident ion energy ranging from 0.1 to 50 eV. It was revealed that the deposition energy exerts a substantial influence on the film thickness, density, and Si/O ratio. The optimal deposition energy range for silica film is determined to be 10–30 eV. Within this energy window, the films exhibit simultaneously maximum thickness, peak density, and an Si/O ratio closely approximating the ideal stoichiometric ratio of silica. This investigation offers a robust theoretical foundation for optimizing the preparation process of the silica film, which is crucial for advancing the performance and reliability of semiconductor devices.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".