A Thermoreversible Gelation Pathway to Mesoporous Aerogel Monoliths Based on Poly(methyl methacrylate) Stereocomplex Crystals
Bibliographic record
Abstract
Abstract In pursuit of lightweight, functional thermoplastic materials, novel monolithic aerogels composed entirely of poly(methyl methacrylate) (PMMA) and its stereocomplex crystals are reported. Herein, PMMA aerogels are fabricated using a one‐pot thermoreversible gelation procedure, coupled with supercritical CO 2 (scCO 2 ) drying. These aerogels exhibit either mixed macro‐ and mesoporous, or exclusively mesoporous character, with low densities (0.03–0.4 g cm −3 ) and high porosities (97.3–66.6%), depending on the concentration of PMMA used in sol–gel processing. These aerogels also exhibit among the highest melting temperature and enthalpy reported for PMMA stereocomplex crystals, a consequence of scCO 2 drying that promotes chain reorganization processes. Despite the characteristically brittle nature of PMMA and aerogels with similar densities, these aerogels exhibit an unusually remarkable balance between stiffness, strength, and toughness that arises from their nanometric‐crystalline‐ligament‐containing structure. These monoliths are also superoleophilic (sorption capacity: 2.9–29.8 g g −1 ), are well‐suited for oil‐water separation, and are effective thermal insulators ( k : 24–65 mW m −1 K −1 ). Importantly, these aerogels can be easily recycled via chemical recycling and melt‐processing. These findings provide the foundation for future fabrication of recyclable thermogel derivatives, and reveal process–structure–property relationships for stereocomplex crystal‐based monoliths.
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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) | 0.001 | 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 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".