Fabrication of diffractive optical elements by electron beam lithography
Bibliographic record
Abstract
Éléments d'optiques diffractives (EODs) composent une partie essentielle dans le succès de microsystèmes optiques. Lithographie à faisceau d'électrons est un élément clé pour la fabrication des structures avec des dimensions critiques submicroniques. Cette thèse présente le travail fait sur le développement d'un processus pour la fabrication des optiques diffractives en utilisant cette méthode. Ce projet étudie des divers défis impliqués dans ce processus, traite des problèmes qui pourrait surgir et propose des solutions pour les résoudre. Les sources d'erreur possible dans la création et le transfert des modèles sont identifiées et des méthodes de les éliminer ou les minimiser sont présentées. Certaines des erreurs sont attribuées à l'accumulation d'électrons et aux problèmes d'alignement lors de la lithographie.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".