Site preference and magnetic properties for a perpendicular recording material: BaFe_{12-x}Zn_{x/2}Zr_{x/2}O_{19} nanoparticles
Bibliographic record
Abstract
The site preference and magnetic properties of Zn-Zr substituted BaM ferrite ${\mathrm{BaFe}}_{12\ensuremath{-}x}{\mathrm{Zn}}_{x/2}{\mathrm{Zr}}_{x/2}{\mathrm{O}}_{19}$ nanoparticles with $x=0--1.6$ have been studied using M\"ossbauer spectra and magnetic measurement. The results show that the magnetizations and magnetocrystalline anisotropies are closely related to the distributions of Zn-Zr ions on the five sites. The ${\mathrm{BaFe}}_{12\ensuremath{-}x}{\mathrm{Zn}}_{x/2}{\mathrm{Zr}}_{x/2}{\mathrm{O}}_{19}$ nanoparticles exhibit unusual saturation magnetization, which increase at low substitutions, reach a maximum and then decrease. M\"ossbauer spectra show that the Zn-Zr ions preferentially occupy the $2b$ and ${4f}_{\mathrm{VI}}$ sites. The preference for the ${4f}_{\mathrm{VI}}$ site is responsible for the anomalous increase in the magnetization at low Zn-Zr substitutions. At $x>~1.2$ the rapid decrease in the magnetizations is mainly attributed to a noncollinear magnetic structure. In addition, a monotonic decrease in the magnetocrystalline anisotropy with Zn-Zr substitutions has its origin in the preference of the Zn-Zr ions for the $2b$ and ${4f}_{\mathrm{VI}}$ sites.
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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".