High-Performance, Low-Cost On-Chip Fabry-Perot Interferometer With Microfluidic Channel Using Single Anisotropic Wet Etching
Bibliographic record
Abstract
In this paper, we present a design for improving the fabrication process of an in-plane Fabry-Perot interferometer (FPI). The fabrication process involves a single anisotropic etching step in silicon$(110)$to form a resonator featuring a microfluidic channel and perpendicular structures for fiber alignment. The process etches along the crystalline planes, resulting in an almost perfectly parallel resonant cavity and reducing roughness of optical components. The FPI mirrors consist of two$(111)$planes coated with a thin film of evaporated gold, enhancing reflectivity. The advantage of this process is that it enables low-cost and commercial fabrication while maintaining high performance. Resonances with$Q$factor exceeding$2\times 10^{3}$are reported. [2023-0014]
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".