Synthesis of soft/hard magnetic FePt-based glassy alloys with supercooled liquid region
Bibliographic record
Abstract
Since the glassy alloys have structural homogeneity on a nanoscopic scale and wide supercooled liquid region, ΔTx (temperature interval between glass transition and crystallization), these materials are recognized as promising micro/nano-materials for nanomachines or micro electro-mechanical systems (MEMS). As one of the micro/nano components, the hard magnetic one is immensely desired. We systematically investigated the effect of metalloids composition in Fe-Pt-metalloids alloys on the glass-forming ability, and developed Fe55Pt25Si16B2P2, Fe55Pt25Si15B3P2 and (Fe0.55Pt0.25Si0.16B0.02P0.02)96Zr4 (at%) glassy alloys with ΔTx of 37 K and 48 K, respectively. With structural change from the glassy phase to a nano-composite structure consisting of L10 FePt phase, the coercivity significantly increases from 15 A/m to 170 kA/m for the former one. There is possibility for making the hard magnetic components by the fabrication in ΔTx followed by annealing for the crystallization of the FePt–based glassy alloys. Considering the high magnetocrystalline anisotropy of the L10 phase, which should lead to room-temperature ferromagnetic stability for component sizes as small as nm-order, these Fe-Pt-based glassy alloys have great potential for fabrication of hard magnetic micro/nano structures.
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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) | 0.001 | 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".