Morphology based statistical analysis of nanosecond pulsed laser texturing of the multicrystalline silicon
Bibliographic record
Abstract
In this paper, we investigate the surface morphology of the textured multicrystalline silicon with nanosecond (ns) Nd: YVO4 laser (wavelength of 1064 nm, repetition rate of 10 KHz, and pulse duration of 14 ns). Various surface topographies have been achieved with different laser as well as irradiation parameters. The textured area average roughness and depth have been statistically analyzed through ANOVA test, which could evaluate the significance and effectiveness of the adopted design of experiment. This research work is based on three control factors: Laser fluence, laser pulse overlap percentage, and number of irradiations. The statistical assessments were conducted based on roughness and depth values measured by optical interferometry. The effect of roughness and depth on solar weighted reflectance (SWR) was analyzed and significant reduction in SWR with increase in Ra was observed. In addition, time and energy consumption, which are highly significant in the industrial applications, have been investigated.
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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 | 0.001 | 0.001 |
| 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".