Solid‐State Route for the Synthesis of Scalable, Luminescent Silicon and Germanium Nanocrystals
Bibliographic record
Abstract
Abstract Group 14 nanocrystals (NCs) have gained significant attention in the last decade largely owing to their unique and tunable optoelectronic properties, allowing for diverse applications across a range of fields. Herein we report a gram‐scale method to prepare Si and Ge NCs from mesoporous metal oxides using a solid‐state metallothermic reduction method. Mesoporous SiO2 and GeO2 were prepared using a templated sol‐gel method. The influence of pore size of the metal oxide precursor and the nature of reducing metal on the formation of Si and Ge was investigated. The NCs were functionalized with dodecyl groups via microwave‐assisted hydrosilylation and hydrogermylation reactions, respectively. Si and Ge NCs were found to have tunable visible or near‐IR luminescence with high emission quantum yields.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".