High-quality hole drilling in alumina wafers using femtosecond laser
Bibliographic record
Abstract
The topography, radial spreading and chemical composition of the slag produced during percussion and trepanning hole drilling process using femtosecond laser have been investigated. Results on optical microscopy, electron scanning microscopy and energy dispersion spectroscopy analysis are presented. While there is no significant difference in the average ablation rate between the near IR femtosecond laser in comparison to the UV nanosecond laser ablation of Al2O3 ceramics, near IR femtosecond laser provides better precision and quality. Absence of particulates due to resolidification of molten material around the hole was also observed. The slag consisted of ultrafind powder formed by the condensation of the supersaturated ablation plume. This slag can easily be removed using ultrasonic bath with the mixture of acetone and water. Combining the trepanning hole drilling method, femtosecond laser opens up a new door for production of high precision micro via holes in alumina wafers.
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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".