Shape-dependent magnetism of bimetallic FeNi nanosystems
Bibliographic record
Abstract
Shape-dependent magnetic properties of a bimetallic system have been studied for FeNi nanoparticles with well-defined concave cubic and octahedron shapes. The alloy composition was chosen to be close to that of an Invar FeNi alloy (with 35% Ni content) but with the coexistence of both bcc and fcc phases, in order to investigate the role of phase combinations in controlling the magnetic properties for the first time. Different saturation magnetization and coercivities were observed for the resulting FeNi alloy nanoparticles, and these differences have been correlated with surface anisotropy and formation of different two-phase combinations. The role of two-phase combinations in governing the magnetic properties has also been studied for both bulk and nanoalloys by large-scale Density Function Theory (DFT) calculations using VASP, which provides a new complementary approach to understanding the magnetic properties of alloy materials.
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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".