Engineering and scale‐up of pervaporation membrane with an intermediate <scp>PEBA</scp> layer and an optimized <scp>PDMS</scp> layer
Bibliographic record
Abstract
Abstract The fabrication and scale‐up of pervaporation composite membranes are often challenged by pore penetration into microporous substrate. This study presents an innovative composite membrane featuring an intermediate poly(ether‐block‐amide) (PEBA) layer formed at a liquid–liquid interface, effectively preventing pore penetration and enabling uniform deposition of the selective polydimethylsiloxane (PDMS) layer. The PDMS layer was precisely controlled through dynamic monitoring of the membrane solution droplets spreading, optimizing the PDMS spreading thermodynamic and kinetic parameters involved. SEM confirmed the dense top‐layer structure of the PDMS‐PEBA/polytetrafluoroethylene (PTFE) membrane, with controllable thicknesses of individual layers. The appropriate thicknesses for the PEBA and PDMS layers were investigated through both the resistance model analysis and pervaporation test results. Based on this trilayer structure, a scale‐up 600 cm 2 PDMS‐PEBA/PTFE membrane demonstrated a separation factor of 22.4 and a flux of 1.9 kg/m 2 /h for concentrating n ‐butanol (60°C, 1 wt.% n ‐butanol/water), highlighting its potential for industrial applications.
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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 | 0.001 |
| 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 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".