High-Performance WPT with Self-Resonant Coils and Dual-Layer Metasurface
Bibliographic record
Abstract
Wireless power transfer (WPT) systems typically encounter low efficiency and weak coupling at extended transfer distances, while conventional enhancement techniques such as ferrite, metamaterial or intermediate coils increase system size, weight and losses. In this work, a compact WPT structure is developed using self-resonant transmitter and receiver coils with embedded dual-layer metasurfaces. The self-resonant property allows the coils to operate efficiently without external tuning components, providing inherent frequency stability. The metasurfaces are optimized through parametric analysis of track width ratio, track gap ratio, and permeability behavior to reduce losses and improve the quality factor and efficiency. Simulation and experimental investigations confirm that embedding metasurfaces in both coils produces stronger magnetic field distribution, higher induced voltage, and significantly improved coupling compared to single-sided or conventional designs. Experimental results show that at a transfer distance of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{1 0 0 ~ m m}$</tex>, the proposed system achieves an efficiency increase from 37 % to 69 %, demonstrating its potential for lightweight and high-performance WPT applications.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".