Characterization and magnetic properties of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Fe</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mi mathvariant="normal">Ni</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math>nanowire arrays
Bibliographic record
Abstract
Detailed fabrication, structure, and magnetic properties of ${\mathrm{Fe}}_{1\ensuremath{-}x}{\mathrm{Ni}}_{x}$ nanowire arrays were investigated. The dependence of structural variation on the Ni content was determined by x-ray diffraction, showing different behaviors of nanowire arrays from the bulk and particle systems. The magnetic properties in the temperature range of $5\phantom{\rule{0.3em}{0ex}}\text{to}\phantom{\rule{0.3em}{0ex}}300\phantom{\rule{0.3em}{0ex}}\mathrm{K}$ were studied and results show the coercivity at $300\phantom{\rule{0.3em}{0ex}}\mathrm{K}$ does not monotonically decrease as Ni content increases. When the applied field is along the long axis, the temperature dependence of coercivity for ${\mathrm{Fe}}_{0.68}{\mathrm{Ni}}_{0.32}$ and ${\mathrm{Fe}}_{0.19}{\mathrm{Ni}}_{0.81}$ nanowire arrays shows a linear decreasing with increasing temperature, which can be understood by a phenomenological nucleate model.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.004 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.598 | 0.005 |
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; both teacher heads agree on what is shown here.
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".