Highly efficient anti-fouling electro-conductive membranes fabricated by reduced Graphene Oxide-Polyaniline (rGO-PANI) laminates
Bibliographic record
Abstract
As an obstacle against the widespread application of membranes in larger scales, fouling via different materials could cause a severe decline in water permeation. Herein, we fabricated a novel mechanically-stable electro-conductive membrane by simple pressure-assisted laminating of reduced Graphene Oxide-Polyaniline (rGO-PANI) suspension on the commercial polyethersulfone (PES) support layers. Field emission scanning electron microscopy (FESEM) and water contact angle measurements were used to characterize rGO-PANI membranes. Using PANI improved the mechanical stability of laminated film and reduced the water contact angle, making a more hydrophilic surface. Organic fouling behaviors of newly fabricated membranes were also investigated by applying a DC voltage to membranes. The experimental results showed a significant improvement in water flux recovery when 2 V DC potential is applied on the surface of the rGO-PANI membrane.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".