A Thin Film Approach to Rapid, Quantitative Measurements of Mixed-Gas Adsorption Equilibrium in Nanoporous Materials
Bibliographic record
Abstract
Nanoporous adsorbent materials are a key part of many industrial processes, including the rapidly-expanding carbon capture industry. Development of advanced sorbents requires an assessment of the sorbent’s performance under mixed-gas conditions. Existing measurement techniques tend to be slow, material-intensive, and have limited ability to measure competitive mixed-gas sorption. We have developed a novel technique that measures thin films of sorbents deposited onto sensitive micro-electromechanical system (MEMS) transducers. This technique is fast, requires very little material, and enables real-time monitoring of binary gas sorption. We report measurements of CO2/H2O mixed-gas isotherms at three different temperatures on the carbon capture MOF CALF-20. The measured experimental data on CO2/H2O mixture adsorption in CALF-20 demonstrate the severe limitations of the Ideal Adsorbed Solution Theory (IAST) in providing a quantitative estimation of the component loadings. Departures from the IAST are quantified by introduction of activity coefficients and use of the Real Adsorbed Solution Theory (RAST).
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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 | 0.005 | 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 | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".