Replication of micro-optical elements in hybrid organic-inorganic materials
Bibliographic record
Abstract
In this paper, a detailed study of replication of microlenses by UV-assisted moulding in hybrid glass materials is presented. Circular aspherical, spherical and cylindrical microlenses were designed and fabricated in photoresist by using the grey-scale lithography based on high-energy beam sensitive glass. A semi-transparent replication master was then generated. Hybrid organic-inorganic resins were synthesized by sol-gel processing of functionalized alkoxysilanes. The resin viscosity and refractive index depended on synthesis conditions. Transparent, well adhering, several tens of microns-thick films were deposited on fused silica substrates by adjusting the solvent content of the formulation. The thermal expansion coefficient of our material, determined by a Michelson interferometric technique was 1.75 10 -4 K -1 . High replication fidelity e. g. better than 5% is demonstrated by controlling changes, at the various process steps, in the radius of curvature i.e. focal lengths of microlenses performing the measurements with a Twyman-Green interferometer. Close to diffraction limited microlenses with f-numbers ranging from f/1.4 to f/10 were fabricated.
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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".