Microscopic Kinetics of Water Adsorption in Metal–Organic Frameworks
Bibliographic record
Abstract
Metal-organic frameworks (MOFs) have shown great potential in atmospheric water harvesting, dehumidification, and passive evaporative cooling. Their performance is determined by the water uptake and adsorption kinetics of the MOFs. Here, the water adsorption kinetics in MOFs are systematically investigated using our proposed theoretical framework and experimental measurements. At low relative humidities (RHs), water molecules are adsorbed and diffuse freely in MOFs, as described by the linear driving force assumption and Fick's law. At high RHs, water condenses into liquid clusters before diffusing, modeled by a two-concentration framework. At medium RHs, both water molecules and clusters coexist in MOFs. Good agreement between experiments and simulations of water uptake and kinetics of UiO-66, CAU-10-H, MOF-801, MIL-101, and MOF-303 demonstrates our theoretical framework fully captures water vapor adsorption processes in MOFs. Our results further show that water adsorption capacity and kinetics are jointly influenced by the porosity, pore radius, and pore geometry factor.
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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".