Mathematical modeling of dispersed CO2 dissolution in ionic liquids: Application to carbon capture
Bibliographic record
Abstract
As an example of a carbon capture approach, we have developed 2D CFD model in Comsol Multiphysics in which we investigated CO2 absorption in an ionic liquid ([Bmim][TCM]). Factors such as pressure (1–20 bar), temperature (278–330 K), inlet gas velocity (0.0001–1 ), sparger diameter to column diameter ratio (0.1–0.5), and column height to diameter ratio (1–3) were investigated. A quadratic model for absorption behavior (p-value < 0.0001 and R2 > 0.98) was developed. Four sparger geometries were considered, and the optimal values for column height to diameter and sparger diameter to column diameter were computed. The maximum CO2 concentration was obtained at a pressure of 18.26 bar, temperature of 309.5 K, velocity of 0.825 , sparger diameter to column diameter of 0.414, and column height to diameter of 2.5.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".