Influence of HSiO<sub>1.5</sub> Sol−Gel Polymer Structure and Composition on the Size and Luminescent Properties of Silicon Nanocrystals
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Bibliographic record
Abstract
We report the preparation of SiO 2 -embedded silicon nanocrystals (Si-NCs) from the thermal processing of sol−gel polymers derived from trichlorosilane (HSiCl 3 ). Straightforward addition of water to HSiCl 3 generates a cross-linked (HSiO 1.5 ) n sol−gel polymer suitable for the generation of bulk quantities of SiO 2 -embedded Si-NCs. It is shown that structural differences between the present (HSiO 1.5 ) n polymer and hydrogen silsesquioxane (HSQ) result in controllable differences in the resulting oxide-embedded Si-NCs produced from these precursors. A polymer structure/NC size relationship is further delineated through the preparation and evaluation of methyl-modified (HSiO 1.5 ) n (CH 3 SiO 1.5 ) m ( m ≪ n, m + n = 1) sol−gel copolymers, in which a low concentration of methyl groups acts as a polymer network modifier and influences the formation of Si-NCs during thermal processing. Si-NC size is readily tailored by controlled variations to peak processing temperature for (HSiO 1.5 ) n and composition ( n and m ) for (HSiO 1.5 ) n (CH 3 SiO 1.5 ) m . Furthermore, the present Si-NCs exhibit size-dependent photoluminescence (PL) in accordance with the principles of quantum confinement. Freestanding Si-NCs are obtained through chemical etching of the oxide matrix and exhibit tunable PL throughout the visible spectrum.
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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