Enhanced Conductivity in Morphologically Controlled Proton Exchange Membranes: Synthesis of Macromonomers by SFRP and Their Incorporation into Graft Polymers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A novel series of graft polymers comprising graft chains of a macromonomer poly(sodium styrenesulfonate) ( mac PSSNa) and a polystyrene (PS) backbone have been prepared using a combination of stable free radical polymerization (SFRP) and emulsion polymerization. Well-defined PSSNa polymers possessing 32 repeat units and a polydispersity index of 1.25 were prepared by SFRP. The pseudo-living chains were terminated with divinylbenzene to afford a macromonomer ( mac PSSNa), which was subsequently copolymerized with styrene by emulsion polymerization to afford PS- g - mac PSSNa graft polymers. The number density of macromonomer graft chains was controlled by the feed ratio of macromonomer to styrene. Films were prepared by compression molding and Na + ions exchanged for protons to yield proton exchange membranes (PEMs). The graft polymer membranes exhibited lower water uptake but much larger proton conductivity for a given sulfonic acid content compared to membranes prepared from random copolymers of styrenesulfonic acid and styrene (PS- r -PSSA). Transmission electron microscopy showed that the graft polymer membranes exhibit a higher degree of phase separation and enhanced connectivity between ionic domains.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it