Enhanced field compensation effect in superconducting/hard magnetic Nb/FePt bilayers
Bibliographic record
Abstract
Epitaxial Nb/FePt thin film bilayers were prepared by pulsed laser deposition under UHV conditions. With the magnetic moments of the FePt grains aligned perpendicular to the film plane, the stray field between the individual grains acts already on the superconductor in the field-free case. Under application of an external magnetic field, the stray field can be compensated for, accompanied by an observable increase of the transition temperature. This field compensation effect can be tuned by changing the density of the magnetic grains or the magnitude of the stray field. The magnitude of the already reported shifts in the transition temperature are in the range of 40 mK when fields of 2 mT are applied. Using FePt hard magnetic materials an enhanced effect of stray field compensation was observed when 0.25 T of applied field raises T C by about 0.5 K. The extension of the superconductive phase in the μ 0 H ( T ) phase diagram of the heterostructures was investigated. An asymmetric behavior of the phase boundary with respect to the polarity of the applied magnetic field was observed, which can be controlled by varying the FePt layer thickness.
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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 | 0.000 | 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".