Monitoring sulfur loss in polycrystalline solid solutions of CaS-La<sub>2</sub>S<sub>3</sub> by Raman spectroscopy and X-ray diffraction
Bibliographic record
Abstract
Controlling stoichiometry in materials is a critical consideration in advanced applications. Non-stoichiometry due to sulfur excess or sulfur loss is observed in the CaS-La 2 S 3 (CLS) solid solution, a promising optical and thermoelectric material. We show that Raman spectroscopy can be used to assess deviation from stoichiometry in polycrystalline CLS. Use of this technique shows an increase in the full width at half maximum (FWHM) of the A 1 vibrational peak, associated with disorder on the sulfur sublattice. This method is validated using X-ray diffraction, where a decrease in the lattice parameter is observed on either side of the stoichiometric composition. This paper illustrates the usefulness of Raman spectroscopy as a complementary metrology technique to assess stoichiometry in sulfide-based polycrystalline ceramics.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".