An Efficient Implementation of the Classical Preisach Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The incorporation of hysteresis models in the finite-element (FE) method is important for the accurate predictions of the performance of low-frequency electromagnetic devices. The Jiles-Atherton and Preisach models are frequently used for this purpose. The classical Preisach model is more accurate and can represent a broad range of magnetic materials. However, it is computationally very expensive and therefore hysteresis-coupled FE simulations take too much time to solve. In this paper, a computationally efficient method of implementing the Preisach model is presented using the closed-form expression for modeling the Everett function, which not only reduces the total execution time of the model but also simplifies its implementation. The incorporation of the proposed implementation into FE simulations shows faster computation times and better numerical convergence when compared to the conventional implementation. The proposed approach is only valid for the H-based Preisach models.
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.
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 | 0.001 | 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) | 0.001 | 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 it