A PREISACH ANALYSIS OF IRREVERSIBILITY IN A PARTICULATE THIN FILM: <font>Fe</font>-<font>Al</font><sub>2</sub><font>O</font><sub>3</sub>
Bibliographic record
Abstract
We present measurements of some of the principal response functions of a thin film of nanodimensional Fe particles embedded in A l2 O 3, specifically the temperature dependence of the moment measured under field cooled and zero field cooled conditions at temperatures between 5 K ≤ T ≤ 300 K in a low applied field ha =10 Oe , and the major hysteresis loop measured at T =5 K in applied fields between -2000 Oe ≤ h a ≤ + 2000 Oe . The data were analyzed within the framework of a generalized version of the Preisach model of hysteresis, which treats all magnetic systems as ensembles of interacting bistable Barkhausen elements, and which includes both thermal barrier relaxation effects and critical effects. Numerical simulations based on the model are able to replicate the principal structural features of the experimental data, and allow us to extract the characteristics of the bistable elements, specifically their moments μ, their coercive fields h c and their interaction fields h i .
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".