Paper HP-05 Presented aty Intermag 2000, Toronto, CA To be published IEEE Trans Mag 1
Bibliographic record
Abstract
Rf-diode reactively sputtered FeAlN films, which are good candidates for high-density write head pole materials, usually have very large compressive residual stresses. In this paper we describe our efforts to lower the residual stress, and study the effects of lowered stress on the magnetic properties of the FeAlN films. It is found that increasing the total sputtering pressure while keeping the optimum Fe to N arrival flux constant can lower the residual stress. The films with lowered residual stress, however, are more susceptible to the formation of stripe domains which are detrimental to the magnetic properties. In order to avoid these stripe domains, the thickness of the film should not exceed the critical stripe domain onset thickness. For applications where thicker films are desired, we demonstrate that laminating single layer films whose thicknesses do not exceed the critical thickness produces films with good magnetic properties and acceptable residual stress. Index Terms---Fe...
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.518 | 0.233 |
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".