Zero-mode TEM parallel-plate resonator for high-resolution thin film magnetic resonance imaging
Bibliographic record
Abstract
A parallel-plate radio frequency resonator has been designed for high-resolution thin film magnetic resonance imaging. The B1 field produced by the resonator was evaluated through experiment and numerical simulation. The resonator, composed of two conductive plates sandwiching the sample, generates a uniform B1 field parallel to the plates. This feature renders the resonator largely immune to radio frequency screening from conductive layers parallel to the sample. The resonator is custom fabricated according to the dimensions of the sample, yielding a high filling factor. The radio frequency probe is shown to facilitate high-sensitivity depth profiling of thin films. Three variations on the basic design are examined. Since the intention is to employ these resonators for functional studies of membranes, we introduce perforations in the parallel plates to permit mass transfer in and out of the thin films under study. One-dimensional depth profiles of Nafion 117 are presented with and without the addition of additional plates of conductive material. One-dimensional depth profiles of Nafion 1110 and a two-dimensional image of Nafion 117 in an operating fuel cell, which was integrated into the radio frequency circuit, are also illustrated.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".