Mechanisms of ion migration in droplet coalescence and non-coalescence behaviors under direct current electric fields
Bibliographic record
Abstract
In electrostatic coalescence, ion migration in controlling the critical transition between coalescence and non-coalescence remains unclear. This study employs many-body dissipative particle dynamics simulations to examine ion migration under varying electric field strengths, ion concentrations, and other factors. During droplets approaching, ions first accumulate at the surfaces and, upon surface charge saturation, migrate to the droplet edge regions. In the liquid bridge evolution stage, low fields produce a neutralization zone where charge density drops sharply, weakening the driving force and suppressing ion transfer. In moderate fields, partial ion escape from this zone slows bridge expansion. At high fields, ions traverse the bridge to the opposite droplet, causing edge electric forces to exceed interfacial tension and preventing coalescence. Moreover, increasing ion concentrations elevates tip charge density and the number of ions transferred through the bridge, thereby lowering the critical field strength and promoting non-coalescence. Ion valence influences the stability of the neutralization zone and the proportion of ions transferred by modulating the microscopic electric force acting on the ions. These findings elucidate ion migration mechanisms governing droplet behavior.
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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 | 0.001 |
| 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".