Bibliographic record
Abstract
The microwave magnetic responses of realistic, strongly-demagnetized hexagonal platelet samples were studied using numerical simulations in COMSOL Multiphysics®, in the context of cavity bolometric and cavity perturbation experiments. The effects of sample conductivity and edge rounding on this response are investigated in detail. Emphasis was placed on the specific sample geometries, material conductivities, and measurement frequencies of previously-performed cavity bolometric broadband measurements of palladium cobaltate (PdCoO₂) samples. Simulations of samples with finite conductivity in three dimensions presented numerical difficulties, which prevented the direct determination of the microwave responses of realistic hexagonal samples to sufficient accuracies. Therefore, a two-step approach was used to arrive at experimentally relevant results. As a first step, perfectly conducting, sharp-edged hexagonal platelet samples were simulated with geometry-necessitated three-dimensional models, as this case allowed the response within the sample bulk to be completely ignored; this in turn greatly reduced model complexities and enabled the response to be determined to high precision. As a second step, two-dimensional axisymmetric models were used to accurately simulate the responses of disks with both finite skin depths and finite edge radii. Comparing the responses of realistic disks to those of perfectly conducting, sharp-edged disks made it possible to estimate the relative reduction in sample power dissipation as a function of both the skin depth and of sample edge radius. By direct analogy between the disk and hexagonal samples, these two threads were woven to provide estimates of the power dissipation of the PdCoO₂ samples that were studied in the broadband experiments.
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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 | 0.000 |
| 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 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".