Mixed Matrix Membranes Composed of Graphene-Based Derivatives as Additives in PVAm for CO<sub>2</sub> Capture
Why this work is in the frame
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Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Graphene oxide (GO) mixed matrix membranes (MMMs) that employ facilitated transport of carbon dioxide were prepared and tested for use in postcombustion carbon capture. Two graphene hybrids were synthesized using exfoliated graphene (G) and GO as a basis and were then appended with triethylene glycol (TEG) and N -(2-hydroxyethyl)ethylenediamine (EDAOH) functional groups, respectively. Unfunctionalized GO nanoparticles were commercially obtained for comparison to the synthesized nanoparticles. The three additives were tested as nanofillers with loadings of 0.5 wt % and, in one case, 1 wt % in polyvinylamine (PVAm) matrices for CO 2 and N 2 gas permeability using humidified mixed gas. MMMs using G-TEG filler particles resulted in improved CO 2 /N 2 selectivity, while GO-EDAOH fillers improved both the CO 2 permeability and the CO 2 /N 2 selectivity compared to neat PVAm. Unfunctionalized GO fillers resulted in no significant change in gas transport properties. Mechanical properties were also tested. The addition of GO or GO-EDAOH filler particles resulted in improvements in storage modulus as well as higher glass transition temperature, while G-TEG filler particles yielded a less significant change compared to neat PVAm.
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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