Magnetic properties of Fe nanoclusters on Cu(111) studied with X‐ray magnetic circular dichroism
Bibliographic record
Abstract
Abstract The magnetisation and magnetic response of Fe nanoclusters are studied by temperature and density dependent in situ X‐ray magnetic circular dichroism after deposition onto Cu(111). The nanoclusters possess enhanced spin magnetic moments at low temperature, whereas no enhancement is found for the orbital moments. The analysis of magnetisation curves and the temperature dependent remnant magnetisation reveals that the individual magnetic anisotropy energies are distributed over a wide range of values, ranging from below to far above the value of bulk α‐Fe. As a result, ferromagnetic response is obtained at ambient temperature, even though the nanocluster densities range well below percolation threshold. At higher cluster densities agglomeration and substrate mediated interaction increase the mean blocking temperature in the particle ensemble. The observed macroscopic magnetic in‐plane anisotropy derives from the average dipolar interactions between the nanoclusters. Single particle properties, substrate mediated coupling and dipolar interactions thus independently contribute to magnetic characteristics on equal footing.
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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".