Transforming Electromagnetics Using Metamaterials
Bibliographic record
Abstract
Electromagnetic metamaterials are artificially structured media with unusual electromagnetic properties that can be engineered from the radio-frequency (RF) and microwave range all the way up to optical frequencies. In its present form, the field of metamaterials is just over ten years old but has already attracted intense interest from many research groups around the globe. Suddenly, classical electromagnetism took on a fresh and exciting perspective, revealing that there are fascinating phenomena still waiting to be discovered and corresponding applications to be invented. In particular, all this excitement is associated with the notion of the macroscopic constitutive parameters, such as the permittivity and permeability. What would be possible if we were able to synthesize electromagnetic materials with arbitrarily valued constitutive parameters? The richness of this possibility becomes more evident when we recall that material parameters can be anisotropic (varying with direction) or spatially inhomogeneous (varying from point to point). Moreover, they can attain values previously not considered (i.e., negative or close to zero), and they can even mix together the electric and magnetic response of a material (chirality).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".