An Aperiodic Subwavelength Dipole Structure for Enhancing Near-Field Wireless Power Transfer
Bibliographic record
Abstract
In this work a sparse, aperiodic sub-wavelength dipole structure (ASDS) is proposed for enhancing wireless power transfer (WPT) in the near field (NF). The ASDS can have applications in areas such as device charging, imaging, and proximity sensing. The working principle is inspired by a shiftedbeam (SB) NF focusing method for similar antenna structures, as well as previous examples of using loaded metawire arrays for far field (FF) beamforming. The ASDS is simulated for distances between 1$\lambda$and 3$\lambda$at 2.4 GHz in the Industrial, Scientific, and Medical (ISM) band. All dipole elements are parasitically excited from a single source dipole at the center. The design is numerically optimized with respect to the elements lengths and positioning; a figure of merit (FOM) is proposed to quantify overall system performance. Significant improvements in focality and power transfer efficiency (PTE) are obtained, compared to reference examples such as a uniformly excited array. The simplicity of the proposed ASDS also makes it advantageous, as no feed networks, multiple excitations, or active components are required. Potential applications are in radiofrequency identification (RFID), wireless charging of small electronics, imaging, and proximity sensing.
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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 | 0.001 |
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 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".