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
<title>Abstract</title> 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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".