Effect of Mg on xonotlite structure and stability
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Bibliographic record
Abstract
Minor constituents such as clays or dolomite might be present in the raw materials used for the synthesis of xonotlite (Ca 6 Si 6 O 17 (OH) 2 ). These impurities can introduce additional elements (e.g., Mg, Al, Fe) into the system, affecting the purity of xonotlite, or promoting the formation of secondary phases. This study focuses on the influence of MgO on the formation and stability of xonotlite. A combination of solubility experiments conducted at 7, 20, 50 and 80 °C, along with thermodynamic modelling and atomistic simulations, was employed to investigate Mg incorporation. Structural and phase characterization was performed using XRD, TGA, FT-IR, SEM and 29 Si MAS-NMR. Up to 13 mol% of Mg can be incorporated into the xonotlite structure and the derived thermodynamic properties indicate that this leads to a stabilization of xonotlite. Higher quantities of magnesium lead to a stabilization of other phases such brucite, which may compete with xonotlite crystallization.
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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 | 0.002 | 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