High‐Coercivity Nd <sub>2</sub> Fe <sub>14</sub> B/α‐Fe Nanocomposites With Ultrafine Nanocrystalline Structure via Zr‐Induced Synchronous Precipitation
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
ABSTRACT Nanocomposite permanent magnets with reduced rare‐earth content represent a promising class of materials for next‐generation high‐performance applications. However, asynchronous precipitation of soft and hard magnetic phases often results in grain size mismatch and limited coercivity. In this study, zirconium is utilized to modulate the eutectic reaction temperature among the soft magnetic, hard magnetic, and boron‐rich phases, aligning it with the solidification point of the hard phase. This thermal alignment enables synchronous precipitation, leading to the formation of ultrafine dual‐phase nanocomposites with an average grain size of approximately 20 nm and a 75.8% improvement in coercivity. Furthermore, zirconium addition induces the formation of a ferromagnetic ZrFe 2 three‐dimensional network that encapsulates both soft and hard magnetic grains, significantly enhancing intergranular exchange coupling and magnetization uniformity. The synergistic effects of grain refinement and phase compatibility result in the concurrent enhancement of coercivity and energy product, while substantially lowering rare‐earth consumption. These findings offer a practical strategy for grain size synchronization and phase integration in multiphase nanocomposites.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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