Mechanism of Coke Formation Caused by Catalytic Nanochromium Carbide Particles from Decomposition of CeCrO <sub>3</sub>
Bibliographic record
Abstract
Ce or CeO 2 is often added to Fe–Cr–Ni base alloys to enhance protective Cr 2 O 3 ceramic scale formation. In high‐temperature carbonaceous reducing environments, however, it is still unsolved that Ce‐containing alloys often exhibited increased carburization and coke formation. This research is aimed at understanding the mechanism of Ce‐enhanced coke formation. It was found that CeO 2 can cause catalytic activation of chromium carbide for carbon growth by first forming CeCrO 3 and then decomposing CeCrO 3 into CeO 2 and active nanosize chromium carbide particles; the latter has proven to be conducive to coke formation. These findings can be helpful for the design of alloys with better ceramic coating resistant to carbonaceous degradation and for the growth of graphitic nanostructures using Cr‐related catalysts.
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.
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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".