The Perovskite SrTiO3 on Si/SiO2 by Liquid Injection MOCVD
Bibliographic record
Abstract
SrTiO3, which has a very high dielectric permittivity κ in the form of bulk material (κ ~ 300), has been considered as a potential candidate for the replacement of SiO2-based gate oxide in future CMOS transistors and as a promising dielectric for next generations of DRAM capacitors. Like all perovskite-type oxides, optimized properties require a stringent control of the composition and of the interfaces with the electrodes. Here, we address issues such as the stoichiometry control of the films synthesized by metal organic chemical vapor deposition and the interface engineering on Si/SiO2 through the precursor chemistry. The silicate layer formed at 700{degree sign}C can be minimized and even suppressed. The dielectric properties are discussed with respect to thickness and composition. Although the perovskite phase is obtained for a large range of Sr/Ti ratio in the films, optimal dielectric properties are obtained in a very narrow range for Sr-deficient films.
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 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) | 0.002 | 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".