Interconnected Porous Monolith Prepared via UiO‐66 Stabilized Pickering High Internal Phase Emulsion Template
Bibliographic record
Abstract
Abstract High internal phase emulsion (HIPE) templating offers an efficient approach to prepare 3D hierarchical porous metal–organic framework (MOF)‐based monoliths. However, conventional poly‐Pickering HIPEs synthesized from MOF‐stabilized HIPEs have low permeability due to closed‐cell structures, thus limiting their applications. Herein, interconnected porous MOF monoliths, prepared by adding a small amount of polyvinyl alcohol (PVA) as co‐stabilizer into UiO‐66 stabilized Pickering HIPE templates are reported. The morphology of the porous monoliths was studied by scanning electron microscopy (SEM). The pore size could be well controlled by varying the PVA concentration. A unique morphology, formed by an ice template, was clearly seen on the cell wall. The pores were thus interconnected. The mass transfer performance of the monoliths having different cell structures was investigated by CO 2 adsorption. The interconnected porous structure significantly accelerated the CO 2 adsorption process, as well as enhancing the saturated adsorption capacity.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".