Dual-band integrated self-biased edge-mode isolator based on the double ferromagnetic resonance of a bistable nanowire substrate
Bibliographic record
Abstract
A dual-band integrated self-biased edge-mode isolator based on the double ferromagnetic resonance of a CoFeB ferromagnetic nanowire (FMNW) substrate, controllable by the geometrical and composition parameters of the FMNWs, is presented. The dispersion diagram of the FMNW edge-mode isolator, taking into account the effective permittivity and permeability of the FMNW medium, predicts two frequency bands of operation. These bands are demonstrated experimentally using FMNWs of 40 nm diameter with a lattice constant of 110 nm. In the presented prototype, isolations of 17 dB at 27.3 GHz and 4.4 dB at 31.2 GHz are observed under zero external applied field. The isolation of the second frequency band is increased to 18.3 dB by applying a small DC magnetic field of 0.13 T. The integrability, self-biased, double resonance, millimeter-wave and dispersion engineering properties of the FMNW medium opens up new possibilities for a diversity of magnetic devices and systems.
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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 | 0.001 | 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 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".