Etude et réalisation d'empilements multicouches sur des optiques asphériques de grandes dimensions pour des applications en lithographie Extrême U.V
Bibliographic record
Abstract
The development of large optics is a crucial point for the success of the EUV lithography at 13.5 nm. The integration of large collectors into steppers allows a gain in the collecting beam and thus improves the throughput. We have studied and developed reflecting molybdenum and silicon multilayers at 13.5 nm. Structures were analyzed using grazing incidence reflectometry and performances were measured under Synchrotron radiation at operating wavelength. The diffusion observed between the two materials at each interface severely reduces the total reflectivity at 13.5 nm. We have also studied coatings on large aspherical substrates. To control the gradient profile coatings on large concave collectors ( clear aperture of 500 mm and sag about 100 mm), we have used with success the masking technique.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".