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 CO2 adsorption. The interconnected porous structure significantly accelerated the CO2 adsorption process, as well as enhancing the saturated adsorption capacity.
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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".