Characterization of Sulfur-assisted Degradation in Alloy 800
Bibliographic record
Abstract
Abstract Crack initiation testing was performed on Alloy 800 (Fe-33Ni-21Cr) blunt-notched tensile specimens exposed to 0.55 mol/kg sulfate solutions at 280 °C with pH280C 3. These conditions were anticipated to produce a variety of sulfur-assisted degradation phenomena in Alloy 800 for the purpose of analytical TEM characterization. Initial imaging of the notch of Alloy 800 tensile specimens revealed a combination of environmentally-assisted cracking (EAC), intergranular corrosion (IGC), and pitting corrosion occurring up to approximately 50 μm in depth. Energy dispersive x-ray spectroscopy (EDX) of EAC revealed a mixture of Ti and Cr-rich oxides, with a sulfur layer at the oxide-metal interface, either incorporated in the oxide or as a sulfide compound associated with Ti. EDX characterization of pitting corrosion indicated only minor oxide formation at the pit-metal interface, with clear identification of a nano-scale sulfur layer at the pit-metal interface, accompanied by a relatively low concentration of oxygen and major alloying elements. The sulfur layer could indicate adsorption of sulfur on the bare metal with near complete surface coverage during pitting, which effectively limits lateral oxide growth and accelerates metal dissolution in the underlying region. Further details on the mechanistic interpretation of results will be discussed.
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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".