Preparation of PDMS−PMAA Interpenetrating Polymer Network Membranes Using the Monomer Immersion Method
Bibliographic record
Abstract
A monomer immersion sequential method for preparing PDMS−PMAA interpenetrating polymer networks (IPNs) was developed. Immersion of pre-IPN films in the guest monomer throughout synthesis ensured an even monomer concentration profile and produced a uniform bicontinuous morphology throughout the IPN indicative of phase separation by spinodal decomposition. Such IPNs were permeable to water-soluble compounds. Laser scanning confocal microscopy (LSCM) of the swollen IPNs allowed direct visualization of the morphology. PDMS−PMAA sequential IPNs synthesized while in contact with surfaces were also examined. Contact with glass or air during synthesis resulted in spatially varying morphology ranging from dispersed hydrogel domains near the surface to a bicontinuous morphology some distance below the surface. The morphology spectrum was attributed to a monomer concentration gradient created by monomer evaporation during handling of the pre-IPN film, as well as to substrate-dependent surface thermodynamic effects. The layer near the surface with dispersed hydrogel domains rendered such IPN membranes impermeable to water-soluble compounds.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".