Using femtosecond laser processing quartz glass microchannel sample cell
Bibliographic record
Abstract
Abstract To improve the intensity and reliability of the emission fluorescence spectrum signal of petroleum pollutant samples, we designed multiple microchannel sample pools to replace traditional sample pool with square section. First, the microchannel structure of the sample pool was designed. Second, we analyzed the pulse intensity distribution and laser ablation volume (LAV) of a femtosecond laser. Then, based on the LAV, we tested the oblique motion of the laser focus at a 45° angle combined with the change in laser power, ablated a specific length region on the quartz glass surface, and indirectly determined the processed depth of the hole inside the quartz glass. Finally, using quartz glasses of 2, 5, and 10 mm in thickness as substrates, we separately varied the processing speed in the x‐direction, feed rate in the y‐direction, and laser output power of the laser processing platform, and obtained the shape‐structure of the microchannel inside the quartz glass under different processing parameter combinations. The experimental results demonstrate that the proposed method is effective at processing a specific hole depth inside the quartz glass. Experiments show that the sample cell can be used for comparative detection of fluorescence signals.
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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".