Determination of the Na<sub>3</sub>AlF<sub>6</sub>–Y<sub>2</sub>O<sub>3</sub> Phase Diagram and Its Implications for Low-Temperature YAG/Nd:YAG Synthesis
Bibliographic record
Abstract
A new way of preparing YAG, Y 3 Al 5 O 12, materials at low temperatures has been discovered using a molten Na 3 AlF 6 –Y 2 O 3 reaction mixture. For the successful synthesis of YAG, a precise examination of the cryolite part of the phase diagram of the Na 3 AlF 6 –Y 2 O 3 system was carried out up to 45 mol % of Y 2 O 3 using thermal analysis with a larger amount of sample (12 g). The phase diagram of the Na 3 AlF 6 –Y 2 O 3 system was discovered to be likely a simple eutectic system with one inflection point on the liquidus curve (coordinates: 22.0 mol % Y 2 O 3, 920 °C) and one eutectic point (coordinates: 43.0 mol % Y 2 O 3, 620 °C). The spontaneously solidified samples of Na 3 AlF 6 –Y 2 O 3 after thermal analysis have been investigated using solid-state NMR ( 19 F, 23 Na, and 27 Al) spectroscopy and X-ray powder diffraction over a broad range of compositions. The minimal synthesis temperature used in this work for the preparation of YAG was 630 °C, and the Y 2 O 3 concentration was 43 mol %. Besides the synthesis of YAG, the molten Na 3 AlF 6 –Y 2 O 3 system with the addition of Nd 2 O 3 has been successfully used also for the preparation of the neodymium-doped YAG powders (Nd:YAG). Rietveld refinement has been used to quantitatively assess the incorporation of neodymium into YAG and β-Na(Y 1.5 Na 0.5 )F 6 materials.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".