Spectroellipsometric characterization of plasma-deposited Au/SiO2 nanocomposite films
Bibliographic record
Abstract
Nanocomposite films consisting of metal nanoparticles embedded in a dielectric matrix were fabricated by simultaneous sputtering of a gold target and plasma-enhanced chemical vapor deposition of hydrogenated SiO2. The optical constants of the films were determined from spectroscopic ellipsometry measurements and were modeled using the Maxwell–Garnett effective medium theory. The particle size dependence of the free electron absorption was included according to the limited electron mean free path effect using a broadening parameter A=0.16 determined from the comparison of the measured spectra with transmission electron microscopy micrographs. Using bulk interband optical constants for gold, very good agreement was obtained between the model and the measured spectra but only in the narrow particle size range ∼10–20 nm, the latter of which marks the onset of phase retardation effects. For smaller particles, the energy of the surface plasmon resonance was progressively blueshifted with respect to the predicted value. This was interpreted by a size dependence of the interband transitions as a result of strain-induced variation of the lattice constant within the particle.
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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".