A New Type of Transmission Line-Based Metamaterial Resonator and Its Implementation in Original Applications
Bibliographic record
Abstract
In this paper, a new type of transmission line-based metamaterial resonator is proposed. The structure is based on a modified uniplanar series resonator bent to form a close square loop inclusion which contains a distributed capacitance and inductance. Many advantages of the proposed structure over conventional split ring resonators are discussed. Based on simple transmission line theory, the resonance frequency at which a deep rejection frequency band occurs with sharp cutoff rates beside the stopband, due to the presence of negative effective permeability in the dielectric slab of the host transmission line in the vicinity of resonance, is calculated and verified with simulated and measured results. Two prototype microwave devices are designed to illustrate the potentiality of the proposed inclusion. The first design represents a dual-band bandstop filter with designed center band frequencies at 1.6 and 2.2 GHz. The lumped element model of this filter contains four series-connected parallel LC resonators which are implemented using our high Q-factor artificial magnetic materials (AMMs) patterned on the backside of a coplanar waveguide (CPW) transmission line. The second device is a miniaturized hybrid branch line coupler operating at 2.4 GHz, based on a special loading technique that increases the electric length of transmission lines by patterning the ground plane under the conductor trace in microstrip lines with the complementary, dual-behavior, configuration of AMMs. A size reduction factor up to 16.95% is achieved compared to conventional couplers. For both design examples the measured and simulated responses are in very good agreement which validates our work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Research integrity | 0.001 | 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".