Atmospheric Pressure Spatial Atomic Layer Deposition of Silicon Oxide Using DIPAS and Ozone
Bibliographic record
Abstract
Silicon oxide (SiO x ) is a highly versatile material used in different applications. However, its conventional growth and deposition methods often require a very high temperature or the use of plasma. In this work, we present a plasma-free, low-temperature process for depositing high-quality SiO x thin films using atmospheric-pressure spatial atomic layer deposition (AP-SALD). An aminodisilane precursor, diisopropylaminosilane (SiH 3 N(C 3 H 7 ) 2, DIPAS), was synthesized and tested with different oxidants, such as ozone and 30% hydrogen peroxide aqueous solution. Initial attempts with hydrogen peroxide solution resulted in precursor condensation and the formation of nanocrystallite SiO x contaminated with organic molecules, indicating that the deposition process is oxidant-limited. In contrast, using ozone as the oxidant facilitated the deposition of high-quality amorphous SiO x films. The microstructure was highly dependent on the deposition temperature, transitioning from nanocrystallites at lower temperatures to amorphous films at temperatures of 70–100 °C. X-ray photoelectron spectroscopy (XPS) confirmed the deposition of SiO x films at 70 °C or above using ozone, and the growth per cycle was ∼1 Å/cycle, consistent with ALD of SiO x . This work shows that high-quality SiO x films can be produced by AP-SALD using DIPAS and ozone, without the aid of plasma or any surface functionalization, at low growth temperatures ( T ≥ 70 °C).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".