Electromagnetic and mechanical performance analysis of conformal jigsaw-shaped metasurfaces
Bibliographic record
Abstract
A conformal metasurface (MS) is required to load on a curved surface and both electromagnetic and mechanical performances need to be considered in practice. In this study, a bandpass circular-protrusion-jigsaw-shaped metasurface (CPJS-MS) is presented to meet the requirement of high mechanical character. In addition, a square-protrusion-jigsaw-shaped MS (SPJS-MS) is proposed, inspired by a mortise and tenon joint of ancient wooden architecture. First, the electromagnetic performance of a planar JS-MS is obtained using the equivalent circuit model (ECM) and simulation. Also, the polarization-independent angular stability for the two JS-MSs is compared with the conventional square-grid MS (SG-MS) to analyze the effect of protrusion structure on the pass band. Second, the transmission characteristics of the conformal JS-MS and SG-MS with different curvature radii are studied based on ECM. Then, the conformal stability of the three MSs is compared with infinite planar form under various incident angles and polarization states to further understand the conformal effect. Most importantly, mechanical properties, which are rarely reported, are discussed and compared. Finally, three MS samples are fabricated and measured to demonstrate the effectiveness and accuracy of the proposed MS designs. The analysis method is beneficial to further understanding electromagnetic and mechanical properties of conformal MSs.
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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) | 0.000 | 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".