Ferroelectric properties of direct-patternable La substituted Bi4Ti3O12 thin films formed by photochemical metal-organic deposition
Bibliographic record
Abstract
The surface microstructure and ferroelectric properties of direct-patternable Bi4-xLaxTi3O12 (BLT) films prepared by photochemical metal-organic deposition as a function of La contents were characterized. The surface microstructure showed that La substitution (x = 0.75 and 1.00) to Bi4Ti3O12 films was effective to induce an improved microstructure of the BLT films without the formation of surface holes. The measured remnant polarization values of BLT films with x = 0, 0.25, 0.50, 0.75, and 1.00 were 3.7, 7.1, 11.3, 16.0, and 8.1 μC/cm2, respectively. After 109 cycles, the remaining remnant polarizations of Bi4-xLaxTi3O12 films with x = 0, 0.25, 0.50, 0.75, and 1.00 were 64.9, 69.5, 75.9, 94.8, and 95.0%, respectively. Considering the surface microstructure and ferroelectric properties of the BLT films, the BLT film with x = 0.75 showed the best microstructure and ferroelectric properties among all the BLT films. These results suggest the possible application of ferroelectric BLT film, relatively easily and without high cost process such as dry etching.
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) | 0.001 | 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".