Transmission-Line Metamaterials on a Skewed Lattice for Transformation Electromagnetics
Bibliographic record
Abstract
We propose a lattice of skewed transmission lines to implement a full effective material tensor. First we show, using transformation electromagnetics, how a skewed lattice will introduce off-diagonal components in the material tensor. We then show how this can be extended to a transmission-line network placed on a skewed lattice, using periodic analysis of a 2-D transmission-line network. We also show how to design a 2-D transmission-line unit cell to implement a full-material tensor for 2-D propagation. We confirm our results using full-wave simulation of a unit cell, as well as full-wave simulation of refraction in a transmission-line network between an isotropic effective medium and a anisotropic effective medium. Finally, we show how this idea can be extended to 3-D unit cells for transformation electromagnetics 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) | 0.000 | 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 | 0.000 |
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 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".