Reassessing the Physicochemical Properties of Ordered Mesoporous Polymer and Copolymer Nanocasts
Bibliographic record
Abstract
Abstract Nanocasting is a convenient way for preparing highly porous, nanostructured soft materials. Mesoporous polymer nanocasts have been reported for over a decade, however, several aspects remain to be explored further. To do so, we report a comprehensive investigation of the physicochemical characteristics of high surface area functional organic polymers and copolymers obtained by nanocasting. Divinylbenzene, styrene and chloromethyl styrene were selectively polymerized within the pores of mesoporous SBA‐15 or KIT‐6 silicas. Following template removal, the resulting materials were characterized. The nanocast mesoporous polymers were also modified to introduce functional groups. The success of the functionalization was assessed analytically and by model catalytic tests. The study points to the advantages of the hard templating method for structuring organic materials but also its limitations.
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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".