Enhanced Electrically Induced Micropatterning of Confined Thin Liquid Films: Thermocapillary Role and Its Limitations
Bibliographic record
Abstract
Electrohydrodynamic (EHD) and thermocapillary (TC) forces are used to destabilize the interface of ultrathin liquid films and create sub-micrometer-sized features. EHD instabilities result from the normal component of Maxwell stress, while TC forces induce shear stress to the interface. In this study, the accuracy of linear stability (LS) analysis for the prediction of final structures which undergo nonlinear stages during pattern evolution is investigated by using new normalizing factors. The reasons for the deviation between LS analysis and nonlinear simulation results are then discussed. It is found that, despite the positive effect of TC in reducing the structure sizes compared to the EHD case, it causes lateral movement of pillars, which results in faster coarsening in later stages of pattern formation. To control the movement of patterns and create well-ordered features, nonuniform electrostatic and TC-induced instabilities of the film are examined by using ridge and square-block-shaped electrodes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".