Experimental Demonstration of Nonlinear Metasurfaces for High-Performance Low-Cost Near-Field Base Station
Bibliographic record
Abstract
2D metamaterials (MTMs) or metasurfaces based on periodic arrays of high-Q coils have been long used as artificial magnetic lenses to boost the power transfer efficiency of inductive power transmission systems. In conventional linear topologies, this focalization effect is physically limited to extremely narrow bands due to the high Q of the unit cells. This paper, for the first time, experimentally demonstrates that nonlinear MTM lenses can produce a stable gain over a much wider bandwidth than any linear MTM lens. Such observation is validated with both continuous-wave and modulated excitations. Furthermore, the measurements also show that the group delay inside the gain region is almost linear, indicating that the proposed MTM lens presents very low in-band phase distortion. Such nonlinear MTM lenses are believed to find great potential in developing high- performance low-cost base station for near-field simultaneous wireless information and power transmission for many low-to- medium power 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 | 0.000 | 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".