CO<sub>2</sub> and H<sub>2</sub>S Adsorption on γ-Al<sub>2</sub>O<sub>3</sub>-Supported Lanthanum Oxide
Bibliographic record
Abstract
The use of high temperatures (>873 K) for desulfurization of syngas has the potential to significantly increase the efficiency of gasification processes. Rare earth oxides are effective adsorbents at high temperatures but expensive. In this work, lanthanum oxide at low weight loadings (2.5–7.5 wt %) is supported on γ-Al 2 O 3 to more efficiently use lanthanum oxide for hot gas desulfurization. The adsorbents are characterized with CO 2 adsorption and tested in a fixed-bed reactor for H 2 S capture at 873 K over multiple cycles. The interaction between lanthanum oxide and the support varied with loading, and regeneration with humidified argon is better than with dilute oxygen. Although the capacity per gram of lanthanum is higher for supported lanthanum oxide, these adsorbents are not selective for the adsorption of H 2 S in the presence of CO 2, CO, and CH 4 likely as a result of site competition with CO 2 and H 2 O.
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How this classification was reachedexpand
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".