Wireless power transfer via dielectric loaded multi-moded split cavity resonator
Bibliographic record
Abstract
Wireless power transfer via a dielectric loaded multimoded split cavity resonator (SCR) is proposed in this article. Unlike conventional inductive resonant coupling, the scheme enables the control of both the real and imaginary parts of the transfer impedance. It is demonstrated through measurements, analytical models, and extensive full-wave simulation that the inclusion of dielectric resonators (DRs) tuned to the SCR TE012 mode significantly enhances the system figure of merit, optimal efficiency, and maximum power transferred to the load. The effect of the DRs is shown to be related to the resonant coupling of the DR TE01δ and SCR modes, resulting in an electromagnetic induced transparencylike window. An efficiency of 70% is achieved when the transfer distance is 7 cm or half wavelength. Additionally, it was shown that the efficiency is above 40% over a relatively wide bandwidth and a wide range of optimum load impedance. A circuit model is developed that enables the decomposition of the two port network parameters into their modal contributions. Hence, it allows the comparison with conventional inductive resonant coupling systems on the fundamental level. Additionally, a vector fitting based method is proposed to calculate the circuit parameters from the measured scattering parameters.
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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 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".