Effect of Annealing Temperature on Minimum Domain Size of Ferroelectric Hafnia
Bibliographic record
Abstract
We optimized the annealing temperature of the Hf 0.5 Zr 0.5 O 2 /TiN thin-film heterostructure via a multiscale analysis of the remnant polarization, crystallographic phase, minimum ferroelectric domain size, and average grain size. The remnant polarization and minimum domain size were closely related to the relative orthorhombic and monoclinic phase contents. The minimum domain size and optimum remnant polarization and capacitance were obtained by thermal annealing of Hf 0.5 Zr 0.5 O 2 /TiN/Si at 500 and 600 °C, respectively. The results suggest that the minimum domain size is more important than the sheer magnitude of the remnant polarization because of the retention and fatigue of switchable polarization in ferroelectric nanodevices. This study can contribute to the development of ultralow-power logic transistors and next-generation nonvolatile memory 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) | 0.000 | 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".