Photothermal Carbon Black Nanoparticle Coating Increases Scaling Resistance in Solar Membrane Distillation
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
Self-heating membranes show promise for off-grid solar membrane distillation (MD). High scaling resistance was indicated in solar MD systems when only driven by the self-heating surface due to the low bulk feedwater temperature. However, low temperatures also result in low permeate flux compared to conventionally heated MD systems. To identify the trade-off between high flux and scaling resistance, we investigated the effect of an increasing feed temperature ( T feed ) on permeate flux and scaling resistance in MD. Increasing T feed between 30 and 70 °C while maintaining a constant distillate temperature of 20 °C confirmed that higher T feed increases permeate flux but also results in an earlier flux decline caused by higher membrane scaling. Similar findings were obtained when a self-heating layer was used; however, the self-heating layer in solar MD also resulted in a lower flux decline despite the high feedwater temperature. This effect is attributed to an increase in the hydrophilicity of the heated layer compared to the pristine membrane, which is hypothesized to reduce the deposition of scaling precursors on the surface. These findings indicate benefits beyond flux improvement for self-heating MD membranes when used in challenging waters rich in inorganic scaling species.
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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 | 0.001 | 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 | 0.000 |
| 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