Moment variation in Er(Co1−xFex)2 Laves phase: Magnetic measurements and Mössbauer spectroscopy study
Bibliographic record
Abstract
Er ( Co 1 − x Fe x ) 2 cubic Laves phases have been studied by magnetic measurements and F57e Mössbauer spectroscopy. With increasing x from 0 to 0.8, the magnetization decreases from 6.8 to 4.8μB/f.u. (5 K), then it slightly increases to 5.2μB/f.u. as x increases from 0.8 to 1.0. Assuming a fixed Er moment of 9μB (Er metal value), the corresponding moment of Co(Fe) shows a maximum at x=0.8 due to the antiparallel coupling between the Er and Co(Fe) sublattices in the compounds. The F57e spectra can be analyzed in terms of two distinct six-line F57e patterns with intensities in the ratio of 1:3, indicating that the easy magnetization direction is along [111] in these compounds. The Fe content dependence of the hyperfine fields at the F57e nuclei in Er(Co1−xFex)2 shows the same tendency as that of the moment variation of Co(Fe), following a 3d-type Slater–Pauling dependence.
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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".