Low-temperature synthesis of nanoscale deposition in a test tube
Bibliographic record
Abstract
mi fac ate ien nos ms de spa sili ting of es, geometries for nanoscale structures as small as 1-2 nm. Furthermore, optical and chemical properties of the resulting deposition of metal oxides at lower temperatures are useful for remaining Si–Cl bonds by H2O, and condensation polymeri-zation to create a new silica layer.13,14 These two reactions can be uniform and controlled thick-Previous applications of SiCl4 ng silica spheres in a colloidal grown along a graphite step ly moisture-sensitive and it ch bring significant practical by FTIR spectroscopy that e used for SiO2 ALD at RT, mples of silica layer growth at apor, include the infiltrated at 90 C),18 an encapsulation t RT),19 and the structural ca film (at 130 C).20 However, 20TH ANNIVERSARY ARTICLE www.rsc.org/materials | Journal of Materials ChemistryDept of Chemistry, University of Toronto, Toronto, Ontario, Canadanone of these examples include the controlled growth by sequential multilayers. Herein, we demonstrate the application of alkoxysilane vapor (tetramethoxysilane, TMOS) for the low-temperature growth of multiple silica layers, using inexpensive benchtop lab equipment and in an ambient environment. We illustrate this TMOS ALD method by growing silica multilayers around polymer colloidal spheres and within a colloidal crystal (opal) structure. The rapid and simple nature of this method means it could easily be applied in any physics, chemistry or
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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) | 0.003 | 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".