Steam Isotherms, CO<sub>2</sub>/H<sub>2</sub>O Mixed-Gas Isotherms, and Single-Component CO<sub>2</sub> and H<sub>2</sub>O Diffusion Rates in CALF-20
Bibliographic record
Abstract
Calgary Framework 20 (CALF-20) has emerged as a metal–organic framework (MOF) that is steam-stable and exhibits selective CO 2 physisorption over water vapor, which makes it a candidate for industrial-scale CO 2 capture from flue gases. In this work, multicomponent CO 2 /H 2 O adsorption data show that the α-to-β phase transformation has little impact on the multicomponent CO 2 adsorption capacity of CALF-20. Also, H 2 O isotherms up to 175 °C reveal only limited changes in the water capacity as temperature increases above 45 °C. CO 2 and H 2 O single-component diffusion rates were measured via concentration swing frequency response. The results show that the diffusion rate of water through CALF-20 is similar to that of water diffusion in the highly water-permeable MOF-333, as well as BPL-activated carbon. The data provides key insight into the fundamental thermodynamic and mass transfer parameters that govern the separation of CO 2 and H 2 O using CALF-20 and provides quantified parameters that can be used to model adsorption systems based on CALF-20.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".