Fabrication of 3-D alumina photonic bandgap structures by laser rapid prototyping. application to the design of three dimensional photonic crystal resonator antenna
Bibliographic record
Abstract
This paper is concerned with improving antenna performance by using photonic bandgap (PBG) structures and their design by laser rapid prototyping method. A solution is to use high dielectric constant to reduce the thickness of these antennas. The fabrication of 1-D, 2-D and 3-D PBG structures was achieved using the laser rapid prototyping technique and a sintering stage of densification with alumina as high permittivity materials. Laser rapid prototyping has proven to be an efficient and flexible tool to realize PBG structures. The electromagnetic measurements made on the 3-D alumina structures use a free space microwave measurement system to permit a nondestructive and in situ testing method over a wide frequency range to characterize the bandgap. These materials are used for their frequency properties and their ability to enhance the behaviour of a single patch antenna in order to create a directive antenna.
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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 | 0.001 | 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".