Enhanced CO selectivity for reverse water‐gas shift reaction using Ti<sub>4</sub>O<sub>7</sub>‐doped SrCe<sub>0.9</sub>Y<sub>0.1</sub>O<sub>3‐δ</sub> hollow fibre membrane reactor
Bibliographic record
Abstract
Abstract Reverse water‐gas shift reaction (RWGS) is important in the CO 2 utilization cycle to convert carbon dioxide (CO 2 ) and hydrogen (H 2 ) to carbon monoxide (CO). In this work, the RWGS performance is evaluated by utilizing Ti 4 O 7 ‐doped SrCe 0.9 Y 0.1 O 3‐δ (SCY‐b) hollow fibre membrane reactor where H 2 permeates through the SCY‐b proton conducting membrane and reacts with CO 2 feed gas. Upon increasing the temperature from 750 to 950 °C, the CO yield increased from a negligible value to 14.82 %, when the sweep gas flow rate was 50 mL min −1 H 2 ‐He (50:50 vol. ratio) and the feed gas flow rate was 100 mL min −1 CO 2 ‐N 2 (5:95 vol. ratio). The CO yield increase with the temperature increase reflects the enhanced H 2 permeation flux through the SCY‐b membrane at higher temperatures. Higher CO 2 concentration in the feed gas led to lower CO yield due to the higher amount of remaining CO 2 in the outlet stream. The deposition of porous SCY or SCY‐b surface layer onto the hollow fibre outer circumference surface also increased H 2 flux through the fibre relative to the non‐deposited one. Thermogravimetric and CO 2 ‐temperature programmed desorption results further reveal that SCY‐b adsorbed CO 2 at temperature above 500 °C due to the reaction between CO 2 and SCY‐b material. Despite the formation of SrCO 3 during RWGS, the SCY‐b hollow fibre membrane reactor still displayed a stable CO yield of around 14 % throughout the 6‐day continuous membrane reactor test.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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 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".