Photoluminescent Porous Si/SiO<sub>2</sub> Core/Shell Nanoparticles Prepared by Borate Oxidation
Bibliographic record
Abstract
A systematic study on the activation of photoluminescence from luminescent porous silicon nanoparticles (LPSiNPs) by oxidation in aqueous media containing sodium tetraborate (borax) is presented. The treatment promotes surface oxidation of the porous silicon skeleton and consequently generates an electronically passivated material. Photoluminescence is ascribed to quantum confinement effects and to defects localized at the Si‐SiO 2 interface, and the strong photoluminescence is attributed to passivation of nonradiative surface defects. The oxidation treatment (carried out at 20 °C) generates a gradual blue shift of the photoluminescence peak wavelength (from 800 nm to 630 nm), while the bandwidth remains relatively constant (≈210 nm). During the treatment period, the external quantum yield ( λ ex = 365 nm) of photoluminescence increases to a maximum value of 23% after 200 min, and then it decreases at longer treatment times. The decrease in photoluminescence intensity at longer times is attributed to degradation and dissolution of the nanoparticles, which is inhibited at higher nanoparticle concentrations or by addition of free silicic acid.
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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".