Tunable Porous Hydrogels from Cocontinuous Polymer Blends
Bibliographic record
Abstract
Hydrogels embedded with networks of fully interconnected pores were prepared with microporous polylactide (PLA) molds obtained by extracting the polystyrene (PS) phase in melt-processed cocontinuous blends of PLA and PS. Quiescent annealing of the blends prior to the PS extraction allowed control over the average pore diameter from ∼1 to ∼500 μm for the PLA molds. Solutions of agar or alginate were injected within the molds and gelled in situ . Porous gels were obtained by extracting the PLA molds and X-ray microtomography was employed to characterize their microstructure. Water removal/uptake cycles were fully reversible with very fast kinetics. Freeze-drying yielded ultraporous materials without modification of the macroscopic dimensions, and rehydration yielded back porous hydrogels. It was possible to scale up the technique by using extrusion and injection molding equipment. This versatile new method allows extensive control over the gels’ porosity parameters and the use of various gel chemistries.
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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) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".