Effects of Annealing Temperature on Raman Scattering and Electrical Properties of Te-Doped Nanostructured Black Silicon
Bibliographic record
Abstract
In this paper, the influence of annealing temperature on Raman scattering and transport properties of Te-doped nanostructured black silicon has been studied. We prepared the black silicon samples by wet etching, i.e. alkaline etching and metal assisted etching. The nanopores on the surface of black silicon were produced by metal assisted etching. The black silicon samples were annealed at different temperature of 600oC, 700oC, and 800oC According to the Raman scattering results, the peak intensity of Si increases with the increase of annealing temperature. However, the full width at half maximum (FWHM) is inversely proportion to the annealing temperature. Thermal annealing removes the Raman peak of amorphous Si at 480 cm-1. In term of Te dopant atoms, the peak intensities of annealed samples are much lower than that of unannealed one. Subsequent Hall Effect measurement shows that annealing treatment improves electronic transport properties of Te-doped nanostructured black silicon.
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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 | 0.001 |
| 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".