Detection and impact of short-range order in medium/high-entropy alloys
Bibliographic record
Abstract
Medium/High-entropy alloys (MEAs/HEAs) have attracted much attention during the past two decades and have been studied extensively owing to their excellent physical and mechanical properties. These materials form simple lattice structures and thermodynamically favored single-phase solutions. Despite having a single-phase, the local structure of MEAs/HEAs still contain some degree of order. Recently, short-range order (SRO) has been studied to better understand the local structure of MEAs/HEAs and how this order impacts their properties. Efforts to characterize SRO in high-entropy alloys have included non-imaging methods such as X-ray diffraction and X-ray absorption spectroscopy, as well as imaging methods such as transmission electron microscopy-based techniques. In this perspective, structural studies using non-imaging and imaging techniques to investigate SRO in MEAs/HEAs are discussed. Moreover, the impact of SRO on the physical and mechanical properties of MEAs/HEAs is also covered.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".