A high-impact review on M-type hexaferrites: Structural, magnetic and microwave absorption characteristics with emerging trends
Bibliographic record
Abstract
The use of absorbers is critical for protecting human health, enabling stealth applications, and preventing electromagnetic interference. Although various absorbers have been developed in recent years, many suffer from poor synergy and low attenuation efficiency, resulting in limited performance. Also, the factors affecting the increase in the effective absorption bandwidth have not been well addressed. Hexaferrites, with their ability to provide magnetic loss along with dielectric loss, are promising candidates for microwave absorbers. However, hexaferrites currently lack the necessary efficiency, and their microwave attenuation properties need to be enhanced. In this review article, we examine recent studies on M-type hexaferrites, focusing on the parameters influencing microwave absorption properties. The magnetic properties of these materials, along with the origins of their magnetic behavior, the structural characteristics, and various synthesis methods of hexaferrites, are thoroughly analyzed due to their significant impact on absorption performance. Finally, in this review article, we present suggestions that can lead to improved efficiency and use of hexaferrites in industry as adsorbents.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".