Novel Fluidizable K-Doped HAc-Li<sub>4</sub>SiO<sub>4</sub> Sorbent for CO<sub>2</sub> Capture Preparation and Characterization
Why this work is in the frame
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Bibliographic record
Abstract
A novel fluidizable K-doped HAc-Li 4 SiO 4 sorbent using an incipient impregnation method was prepared in this work. The produced sorbent displayed an excellent CO 2 sorption capacity and stability under expected reaction conditions. Glacial acetic acid treatment was first used to modify the Li 4 SiO 4 sorbent microstructure. Following this step, an incipient impregnation method was applied to dope potassium onto the sorbent in order to further enhance the sorbent sorption capacity. This novel K-doped HAc-Li 4 SiO 4 sorbent was characterized using X-ray diffraction, N 2 adsorption–desorption, CO 2 temperature-programmed carbonation (CO 2 -TPC), and CO 2 temperature-programmed decarbonation (CO 2 -TPDC) analyses. The experimental results showed that the CO 2 sorption capacity of the K-doped HAc-Li 4 SiO 4 sorbent is approximately 100 cm 3 STP CO 2 /g sorbent. This was five times that of the Li 4 SiO 4 sorbent. Furthermore, the cyclic test of the K-doped HAc-Li 4 SiO 4 sorbent demonstrated it to be high and stable for CO 2 capture.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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