Application of quantitative X‐ray photoelectron spectroscopy (XPS) imaging: investigation of Ni‐Cr‐Mo alloys exposed to crevice corrosion solution
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper explores quantitative X‐ray photoelectron spectroscopy imaging on three different Ni‐Cr‐Mo Hastelloy® alloys (BC‐1, C‐22 and G‐30) with differing Cr and Mo contents. The alloys were subjected to a simulated critical crevice corrosion solution. Ni‐based alloys have been shown to exhibit excellent resistance to a range of corrosive media due to the formation of an inert oxide layer, primarily containing Cr and Mo. However, these alloys may rapidly corrode in the crevice environment produced by seams, gaskets or deposits of debris on the alloy surface. Understanding how the oxide film is influenced by the Cr and Mo content is crucial in determining an optimal alloy composition that reduces or suppresses the possibility of crevice corrosion. The protective oxide films are very thin in nature, generally several nanometers. XPS imaging was used to monitor changes in oxide film composition and to correlate the distribution of Cr and Mo to the grain structure of the alloys. Copyright © 2017 John Wiley & Sons, Ltd.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| 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 it