Achieving High Efficiency, Super Broadband, Ultra-Thin, and Advanced Electromagnetic Absorption for S, C, X, Ku, K, Ka, V, W, and Millimeter Band Radar Applications
Bibliographic record
Abstract
Abstract The aim of this study is focused on an excellent electromagnetic absorption response for radar applications by proposing an insensitive to incidence angle, ultra-thin, super broadband, and high efficiency metasurface. Achieving qualified absorption from low to high frequency is challenging due to impedance matching requirements in the structure. Herein, the proposed structure achieves a wide absorption bandwidth (over 90% absorptivity) from 2.4 GHz to 300 GHz. Moreover , the absorption efficiency of electromagnetic waves reaches (99%) from 4 GHz to 300 GHz. For transverse electric (TE) and transverse magnetic (TM) modes, the proposed structure behaves the same up to 45° when exposed to oblique incidences. The total thickness of the designed absorber is 3.6 mm, corresponding to 0.03λ0 at the lowest operating frequency. In addition, the proposed absorber is 1 compared with previous reports of radar bands. It is observed that it offers superior practical feasibility and is a promising candidate for S, C, X, Ku, K, Ka, V, W, and millimeter band radar applications.
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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 | 0.001 |
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".