Triple band ultrathin polarization insensitive metamaterial absorber for defense, explosive detection and airborne radar applications
Bibliographic record
Abstract
Abstract We demonstrate an ultrathin polarization insensitive metamaterial‐based Concentric Closed Circular Ring Resonator (CCCRR) perfect absorber for explosive detection, bolometer, indoor radar clear applications, thermal detection, defense applications, airborne and surveillance radar signal absorption applications. The unit cell incorporates three concentric closed circular ring resonators. A parametric optimization has been carried out in order to obtain three discrete absorption peaks at 5.57 GHz, 7.969 GHz, and 13.44 GHz exhibiting absorption intensities of 98.87%, 97.99%, and 99.28%, respectively. Owing to the geometrical symmetry, the structure is polarization insensitive for both TE and TM polarizations and has significant absorbance over a wide angle of incidence of 45° for TE and 75° for TM polarizations. The structure is very compact with physical dimensions of 0.185λo*0.185λo *0.01λo, λo is wavelength corresponding to lower absorption peak. The thickness of the proposed structure is λo/100, evidencing the ultrathin characteristic of the proposed structure. The insight of absorption mechanism has been illustrated by analyzing the electric field distribution, power loss density, and normalized impedance. An extensive parametric analysis has been exercised to examine the influence of parametric alterations.
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 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".