Dynamics of percolation and energetics in the clustering of water/AOT/oil microemulsions in the presence of ethanol amines
Bibliographic record
Abstract
Temperature-induced percolation in water/AOT/oil microemulsions in the presence of mono-, di-, and tri-ethanol amines have been studied using conductometric measurements. The percolation temperature of water/AOT/oil microemulsions depends on the nature of the alkanol amine added. Mono- and di-ethanol amines hinder the percolation process, while triethanol amine promotes the process. Percolation studies were also conducted with varying ω = [H 2 O]/[AOT] values and varying chain lengths of continuous oil phase (C 6 C 10 ). The results indicate that increases in both ω and the chain length of the oil decrease the percolation temperature. The microemulsion systems have been analyzed in terms of percolation temperature, scaling equation parameters, and activation energies. The energetic parameters of the clustering process have also been determined employing the phaseseparation model. The influence of alkanol amines on the percolation phenomenon has been rationalized in terms of the changes in fluidity of the interfacial layer, the viscosity of the water micropool, and the attractive interactions of the microemulsion droplets. The influence of the alkanol amine additives on the stated parameters was discussed in view of the individual effects of the alcohol and amine moieties on the properties of water/AOT/oil microemulsions.Key words: microemulsion, percolation, conductometry, alkanol amine, surfactant.
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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".