APDMS mediated self-assembly of alumina nanospheres
Bibliographic record
Abstract
We report a simple method to create spherical aggregates of alumina nanospheres. Alumina nanospheres were dispersed in ethanol and capped by 3-Aminopropyldimethylethoxysilane (APDMS). APDMS acts as a cross linker between nanoparticles to form micro/nano spherical aggregates. Created spheres were distributed on Si and SiN substrates utilizing spin-coating method. Eventually, spherical aggregates with diameter distribution of 400-2800 nm were achieved. The spatial distribution and size of the spherical structures were adjustable by changing the concentration of the used surfactant, APDMS. Higher concentration of surfactant resulted in more aggregation of alumina nanoparticles leading to larger spheres in diameter. Field-Emission Scanning Electron Microscope (FE-SEM) was used to characterize and quantize micro/nanostructures distribution and shape.
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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".