Predictions of Corrosion Products for Alloys Corroding in Complex Gases via Thermochemical Analyses
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The capability to perform very user-friendly, thermochemical analyses of complex, real alloys corroding in complex, high-temperature gases has been developed. Predictions of the stabilities of complex assemblies of corrosion products formed by reactions of alloys containing Fe-Cr-Ni-Co-C-N and gases containing S-C-O-H-N species can now be done with unprecedented accuracy and generality. The thermochemical data models are based upon extensive analyses of all available thermochemical data for all possible solid and liquid compounds and solutions based upon all combinations of Fe-Cr-Ni-Co-S-C-O-N and for all possible gaseous species containing S-C-O-H-N. As well, the alloying elements Al, Mo, Nb, Ti, V, W, Mn and Si are fully included in the alloy and carbonitride solution models. Comprehensive and accurate solution models are used to assess the interactions of multiple species interactions in variable composition solid and liquid phase alloys, sulfides, oxides, carbides, and nitrides. This capability is used to predict the stable corrosion products, which are useful in inferring the dominant corrosion mechanism, in complex conditions.
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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) | 0.001 | 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 it