Enhanced coercivity of spark plasma sintered (La,Ce)FeB magnets
Bibliographic record
Abstract
The increasing global demand on Nd-Fe-B makes rare earth (Re) elements including Nd, and Tb facing long-term criticality due to resource limitation and price, it is important to develop new Re-Fe-B magnets with high content of light rare earths (LRe) such as La and Ce which are more abundant and cheaper. However, large amounts exceeds 40 wt.% of La/Ce substitutions for Nd or Pr worse the properties. In addition, the nonmagnetic CeFe2phase, which coexists with the main 2:14:1 phase, lowers the intrinsic magnetic properties of La/Ce-FeB. It is reported that the substitution of La for Ce can inhibit the formation of CeFe2and improve the magnetic properties of CeFeB magnets. In this study, we prepared a series of (La/Ce)FeB ribbons and investigated the effect of La content on the structure and magnetic properties. Based on the optimized (La/Ce)FeB ribbon, spark plasma sintered (SPS) nanocrystalline bulks with high density were fabricated, and (La/Ce)FeB magnets with NdCu additions, to improve the coercivity, were also investigated.
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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 | 0.000 |
| 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) | 0.001 | 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 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".