Optimized Polarization-Independent, Wide-Band Metamaterial Perfect Absorber for Infrared Energy Harvesting
Bibliographic record
Abstract
We present a gradient-based optimization approach to design a metamaterial perfect absorber (MPA) operating at infrared (IR) wavelengths, specifically around 10.6 μm. The optimal design supports a wide-band absorptivity and its symmetry results in a polarization-insensitive operation. The proposed MPA is composed of a split-ring resonator concentric with crossed-ellipses. This MPA represents the top metallic layer of a metal-insulator-metal (MIM) structure. Magnetic polaritons (MP) at 10 μm leads to a wide reception-angle performance. The ease of forming thin insulator layers inside the gaps of the proposed MPA enables building an IR-energy harvester element similar to the rectenna’s operation. Also, the strong electric field enhancement at these gaps improves the performance of MIM rectifiers. Moreover, the coupling between these MPAs and MIM rectifiers is studied and shows that our proposed design is a good candidate for energy harvest application with capability of scaling the design to different wavelengths.
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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) | 0.001 | 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".