Controlled Growth of Silicon Oxide Nanowires from a Patterned Reagent
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide A new process to fabricate silicon oxide nanowires (NWs) from a patterned reagent is reported. Arrays of NWs grow on patterned nanodots containing exposed hydrogen silsesquioxane (HSQ)/Fe−SiO 2 nanocomposites during annealing at 900 °C. The NWs were seeded by metallic iron nanoparticles, and the resulting microstructure and morphology of the NWs is directly related to the size of the individual iron nanoparticles. The growth process could be dominated by a solid-state transformation mechanism in which iron nanoparticles, originally embedded in a SiO 2 matrix, diffuse to the surface and act as nucleation sites, the exposed HSQ being the source for the growing NWs.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".