Conical phase front and aberration beam shaping for manipulating femtosecond laser chemical etching
Bibliographic record
Abstract
The countering and enhancing influence of surface aberration in combination with conical phase front beam shaping was examined over shallow to deep focusing inside of fused silica to facilitate the geometric control of chemical etching tracks formed by femtosecond laser inscription. The tuning of the collective shaping effects is shown to compensate for a wide focusing range to favorably manipulate the chemical etching rate, the resolution, the surface roughness, and the cross-section profile of the resulting micro-channels. Using only a single laser scanning track, micro-channels have been tailored from symmetrical to highly asymmetric cross-section of up to 1:13 aspect ratio, permitting distortion-free processing to depths of 1.5 mm. The combined shaping effects thus expand the utility of laser chemical etching for micromachining of transparent substrates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".