Electric Field Regulation of Boundary Lubrication in Aqueous Solutions of Compounded Surfactants
Bibliographic record
Abstract
The development of rapid-response electro-controlled friction systems is crucial for advancing modern precision equipment. However, conventional single-component aqueous lubricants generally suffer from limited tunability and delayed response under applied electric fields. In this study, we systematically investigate the electro-controlled friction behavior of mixed sodium dodecyl sulfate (SDS) and cetyltrimethylammonium bromide (CTAB) aqueous solutions at ceramic interfaces. The results reveal that, at low concentrations (≤1.0 mM), the mixed system exhibits superior electro-frictional performance compared with pure SDS, particularly at an SDS:CTAB molar ratio of 7:1 and a total concentration of 1.0 mM, where the coefficient of friction can be reversibly tuned by up to 0.47 with a response time shortened by approximately 56–91%. At higher concentrations (≥2.0 mM), although the modulation amplitude shows no advantage over SDS alone, the response time remains reduced by 24–78%. Density functional theory (DFT) and molecular dynamics (MD) simulations indicate that electric-field-induced frontier orbital redistribution and the formation of ordered bilayers are the key mechanisms underlying this tunability. Specifically, enhanced mobility of SD – anions at low concentrations facilitates rapid responses, whereas at higher concentrations or with excessive CTAB, molecular crowding and clustering reduce diffusivity and prolong the response time. This work not only elucidates the intrinsic mechanisms of electro-controlled friction in mixed surfactant systems but also provides feasible theoretical guidance for the design of high-performance, rapid-response electro-lubrication systems.
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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".