Elastic Properties of Multi-Component Nickel Solid Solutions
Bibliographic record
Abstract
The effects of alloying additions on elastic properties of multicomponent Ni solid solutions have been systematically investigated using ab initio density functional theory calculations within the generalized gradient approximation (GGA). An elastic property map involving 60 purposely-chosen compositions including binary, ternary, quaternary and high-order (up to 6) Ni solid solutions has been created. Analyses of the map revealed that alloying additions could enhance elastic moduli up to the quaternary system, beyond which further alloying would slightly weaken elastic moduli. The enhancement of elastic moduli by alloying additions is more evident for lower order systems than for higher order systems. Based on the calculated elastic moduli, the ductile/brittle behavior of the materials has been briefly assessed. The current research has, for the first time, generated a calculated elastic modulus database for Ni solid solutions that could be used for future design of new superalloys.
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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) | 0.000 | 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) | 0.000 | 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".