Guest editorial: Recent advances in computational electromagnetics
Bibliographic record
Abstract
It is a great pleasure to introduce this special issue of selected papers presented at IGTE’24, the 21st International IGTE Symposium 2024 on Computational Methods in Electromagnetics and Multiphysics held in September 2024 in Graz, Austria.More than 90 colleagues from 11 countries have contributed to IGTE’24, presenting both oral speeches and posters. Besides all topics related to Computational Methods in Electromagnetics and Multiphysics, two mini symposia on “From Micro- to Macroscopic Hysteresis Modeling” and “Numerical Methods in EMI/EMC and Applications” enjoyed great popularity.A limited number of 10 papers was selected by a panel of at least two reviewers per paper to be published in this special issue. We take the opportunity to thank the reviewers from all over the world for their precious work.We hope that this special issue will give an impression of what was presented at IGTE’24 and will provide interesting and new information to the reader.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".