Full Characterization of Magneto-Dielectric Materials Using a Novel CSRR Based Sensor
Bibliographic record
Abstract
A novel complementary split-ring resonator (CSRR) based sensor for full characterization of magneto-dielectric materials is proposed. The CSRR is etched on the ground plane of a microstrip line and is loaded with materials under test. The sensor operation is based on the shift in the resonance frequency and the change in the quality factor of the loaded structure. The main idea behind this work is to localize the electric and magnetic fields in two separate zones. In an area of the CSRR, the magnetic field is localized with a high intensity while the electric field has a very low strength; therefore this zone can be used for sensing of magnetic permeability. On the other hand, in another area of the CSRR namely permeability sensing zone, the electric field has a high intensity while the magnetic field has a low intensity. By analysis of the measured resonance frequency and quality factor, the real and imaginary parts of the electric permittivity and the magnetic permeability of the material under test can be determined. The work is validated by providing experimental results and comparison with reference data.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Research integrity | 0.001 | 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".