PRECURSOR DYNAMICS OF<font>Pb(B<sub>1/2</sub>B′<sub>1/2</sub>)O<sub>3</sub></font>-TYPE RELAXOR FERROELECTRICS STUDIED BY BROADBAND MICRO-BRILLOUIN SCATTERING
Bibliographic record
Abstract
This paper reviews the recent progress in the understanding of the dynamics of Pb(B1/2B′1/2)O3-type relaxor ferroelectrics using of broadband micro-Brillouin scattering spectroscopy, which covers a large frequency range from 1 to 1000 GHz by a tandem multi-pass Fabry–Perot interferometer. In contrast to Pb(B1/3B′2/3)O3-type relaxors, there is no frustration on the B-site of perovskite structure and the degree of order of B-site cations depends on heat treatment. Remarkable softening of sound velocity and an intense central peak are observed above the Curie temperature TCowing to the polarization fluctuations in polar nanoregions (PNRs). Unlike the Pb(B1/3B′2/3)O3relaxors, Pb(B1/2B′1/2)O3does not undergoes a typical diffuse phase transition without lead vacancies on A-site which enhances random fields. For the (1-x) Pb ( B1/2B ′1/2) O3–x PbTiO3solid solutions, the long range polar order increases as the PbTiO3content increases. Nevertheless, a central peak owing to dynamic PNRs still remains even for the composition near the MPB, and a critical slowing down is clearly observed in the vicinity of TC.
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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) | 0.001 | 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".