Kaolinite colloidal suspensions under the influence of sodium dodecyl sulfate
Bibliographic record
Abstract
Rheological properties of kaolinite particle suspensions in water were studied in the presence of sodium dodecyl sulfate (SDS). The characterization of slightly and strongly sonicated samples revealed the impact of particle initial clustering and agglomeration on their flow behavior; findings revealed that sonicated samples exhibit a stronger network. The influence of kaolinite concentration, sonication, and SDS loading on the apparent slip of kaolinite suspensions was also studied. The presence of SDS molecules prevents particle aggregation and network formation, which leads to a gradual reduction in yield stress. Through a suggested spatial hindrance mechanism, adding SDS above the minimum amount for micelle formation also stops network formation. Finally, it was found that increasing the concentration of kaolinite and sonication reduces the apparent slip, whereas increasing the surfactant concentration increases slip significantly. As a result of shear-induced migration, adding surfactant causes the interface to deplete and thus exhibit apparent slip.
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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 | 0.000 |
| 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 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".