Surface-Induced Alkene Oligomerization: Does Thermal Hydrosilylation Really Lead to Monolayer Protected Silicon Nanocrystals?
Bibliographic record
Abstract
Surface functionalization of hydride-terminated silicon nanocrystals (SiNCs) with dodecene via thermal hydrosilylation has been reexamined. We observed the formation of dodecyl oligomers (n ≤ 4) during the reaction under an argon atmosphere at various predesigned temperatures (100-190 °C). In a comparative study, surface hydrosilylation and ligand oligomerization were found to be more pronounced under air (n ≤ 7) at the same temperatures. These observations strongly suggest that hydrogen abstraction by oxygen accelerates hydrosilylation and generates sufficient silyl radical as initiator to interact with unsaturated bonds, promote chain propagation, and generate ligand oligomers. We further propose that, to inhibit ligand oligomerization and obtain monolayer coverage on SiNC surfaces, it is feasible to apply comparatively low temperatures, inert atmosphere, and dilute ligand concentration during thermal hydrosilylation.
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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) | 0.001 | 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 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".