Reduction behaviour of rice husk ash for preparation of high purity silicon
Why this work is in the frame
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Bibliographic record
Abstract
The reduction of rice husk ash (RHA) silica for the preparation of high purity silicon was studied using magnesium as the reducing agent. Composite magnesium–RHA pellets with magnesium content varying from 0–25 wt% in excess of stoichiometry requirement were made and heated in the temperature range of 600–900 oC under flowing argon. It was found through differential thermal analysis (DTA) and temperature profile recording that the reaction of RHA silica with magnesium was triggered at about 575 oC. Quantitative XRD analyses of the reduction products showed that both initial magnesium content of the pellets and the reduction dwell temperature had a significant influence on the yield of silicon. In this study, a charge with 5 wt% magnesium in excess of the stoichiometric amount at reduction temperature of 900 oC gave a maximum silicon yield.
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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) | 0.000 | 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) | 0.000 | 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 it