Removal of Hydrogen Sulfide by Metal-Doped Nanotitanate under Gasification-Like Conditions
Why this work is in the frame
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Bibliographic record
Abstract
A comparative study between nanotitanate doped with different metals (copper, copper–chromium, and cerium) is executed under gasification conditions in order to investigate their maximum H 2 S removal ability and their breakthrough behavior. Therefore, the sorbent is placed in a fixed-bed reactor and exposed to the H 2 S containing gas flow at temperatures ranging from 75 to 950 °C. Online analysis is done by a mass spectrometer. The sorbents are also tested by the offline analytical techniques X-ray diffraction (XRD) and scanning electron microscopy (SEM) after the experiments to provide detailed information about their elemental and crystalline composition. The results indicate Cu-ETS-2 as the most effective H 2 S-scrubber among the tested sorbents. The lowest H 2 S concentration in the outlet gas is always achieved in water rich gas. Additionally, the H 2 S capacity is nearly always higher for the water rich gas than in the hydrogen rich gas.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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