The Modified Jiles–Atherton Model for the Accurate Prediction of Iron Losses
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Bibliographic record
Abstract
The Jiles-Atherton (JA) model explains hysteresis phenomenon in a ferromagnetic material through domain wall transitions with five material constants called the JA parameters. These parameters describe the magnetic characteristics of a ferromagnetic material and are identified from the measured saturated B-H loop. However, the JA parameters cannot predict the inner loops accurately and this presents a serious problem for the JA model to be used in finite element based computer-aided design simulations. In this paper, we have proposed a new approach which assumes one of the JA parameters to be a function of magnetic field intensity H, or magnetic flux density B, and requires knowledge of the inner loops. The improvement in the accuracy of the modified JA model has been demonstrated by comparing its predictions with measurements and one of the already published works.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it