Critical susceptibility exponent measured from Fe/W(110) bilayers
Bibliographic record
Abstract
The critical phase transition in ferromagnetic ultrathin Fe/W(110) films has been studied using the magnetic ac susceptibility. A statistically objective, unconstrained fitting of the susceptibility is used to extract values for the critical exponent $\ensuremath{\gamma},$ the critical temperature ${T}_{c},$ the critical amplitude ${\ensuremath{\chi}}_{o},$ and the range of temperature that exhibits power-law behavior from individual experimental measurements of $\ensuremath{\chi}(T).$ This avoids systematic errors and generates objective fitting results. An ensemble of 25 measurements on many different films are analyzed. Those which permit a fitting range in reduced temperature extending lower than $\ensuremath{\approx}4.75\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}3}$ give an average value $\ensuremath{\gamma}=1.76\ifmmode\pm\else\textpm\fi{}0.01.$ Bilayer films give a weighted average value of $\ensuremath{\gamma}=1.75\ifmmode\pm\else\textpm\fi{}0.02.$ These results are in agreement with the two-dimensional Ising exponent $\ensuremath{\gamma}=\frac{7}{4}.$ Measurements that do not exhibit power-law scaling as close to ${T}_{c}$ (especially films of thickness 1.75 monolayer) show a value of $\ensuremath{\gamma}$ higher than the Ising value. Several possibilities are considered to account for this behavior.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".