Unravelling the mysterious intermediate state in Zr-rich PbZr<sub>1−<i>x</i> </sub>Ti<sub> <i>x</i> </sub>O<sub>3</sub>
Bibliographic record
Abstract
Antiferroelectric perovskites form an important family of functional electric materials, which have high potential in energy storage and conversion applications.However, a full understanding of their crystal structural formation is still lacking.PbZrO3-based materials can serve as a model system for investigation, not only because PbZrO3 was the first discovered antiferroelectric, but also because it undergoes a typical phase transition sequence from a high-temperature paraelectric to the low-temperature antiferroelectric phase, passing through a possible intermediate (IM) phase that is poorly understood.The IM phases usually exist only in a narrow temperature interval in pure PbZrO3, and therefore it is hard to capture them.On the other hand, with a small amount of Ti substitution, the Zr-rich PbZr1-xTixO3 (PZT, x ≤ 0.06) also displays a room-temperature antiferroelectric structure and goes through the same phase transition process as PbZrO3.In this case, the temperature range of the IM phase becomes wider, which makes a detailed study of the IM structures possible.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".