Precipitation Kinetics of Nucleating Agents in LAS Glass-Ceramics by High Temperature Raman Spectroscopy
Bibliographic record
Abstract
The precipitation kinetics of nucleating agents in technical lithium aluminosilicate (LAS) glass-ceramics is challenging to determine in laboratory practice due to the low content of about 3 wt%. Therefore, isothermal heat treatment series in the temperature range 750–820 °C with simultaneous recording of Raman spectra were carried out, which revealed a two-fold crystallisation process. In the first stage, an increase in oxygen coordination of Ti4+ from 4 and 5 to 6 is indicated, which was assigned to a liquid-liquid phase separation, while in the second stage ordering of the short range led to crystallisation of TiO2(B) and anatase in the demixed domains. Using a sectional JMAK analysis of the temporally decoupled process, a stationary nucleation mechanism with no detectable growth is proposed for the first stage, while the second stage led to almost no change in volume fraction over time.
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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 | 0.001 |
| 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".