Effect of the Strain from the Substrate on Tunability of(100) One-axis Oriented (Ba<sub>0.5</sub>Sr<sub>0.5</sub>)TiO<sub>3</sub> Thin Films
Bibliographic record
Abstract
The impact of the residual strain induced by the thermal strain on the dielectric tunability was systematically studied for (100)-one-axis-oriented polycrystalline (Ba0.5Sr0.5)TiO3films. These films were grown on various substrates with different thermal expansion coefficients [a(sub.)] covered with a stack of (100)cSrRuO3/(100)cLaNiO3/(111)Pt layers. The residual strain was ascertained to linearly increase with the increase in a(sub.)by enhancement of the surface-normal lattice spacing of (Ba0.5Sr0.5)TiO3and Pt. Dielectric tunability of the films also linearly increased with the increase in a(sub.). These results clearly demonstrate that dielectric tunability tailoring of the (Ba0.5Sr0.5)TiO3films can be achieved by using residual thermal strain.
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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) | 0.002 | 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".