Evolution of carbon distribution across meso-scale segregations in pressure vessel steel
Bibliographic record
Abstract
Carbon plays a major role in the microstructural evolution and associated mechanical properties of nuclear pressure vessel steel. Solidification conditions of large ingots lead to an inhomogeneous distribution of all elements in the microstructure. The standard thermal schedule for pressurized components was found to afford carbon enough mobility for complete meso-scale homogenization, while substitutional elements remain unaffected. Their inhomogeneous distribution negligibly changes the activity of carbon in austenite. Subsequent bainitic transformation causes redistribution of carbon at the scale of the parent austenite grain only. Tempering, however, leads to migration of carbon from solute-lean to solute-rich regions depending on its duration. • Carbon potential is homogenous across the microstructure during reaustenitization. • Reaustenitization provides carbon with sufficient time and mobility to homogenize. • Chomium and molybdenum segregations cause potential well in ferritic microstructures. • Increased carbide precipitation is the main driver of the carbon potential decrease. • As a result, carbon segregates back along substitutional elements during tempering.
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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".