Electric Field Gradients in Micro/Nanofluidic Devices
Bibliographic record
Abstract
Electrokinetic is one of the most common tools used to control the transport phenomena in micro/nanofluidic devices. To design a successful process, it is important to have a precise knowledge of parameters affecting electrokinetic transport. One of these parameters is the applied electric field. When the local values of the electric field deviate significantly from the nominal values, the assumption of a homogeneous field is an oversimplification resulting in failed or low efficiency processes. In this manuscript, the sources of inducing field gradients and their implications were investigated. Of particular interests are micro-fabricated arrays used extensively in microfluidic devices either as sieving matrices or mixing enhancers. A comprehensive parametric study was conducted to understand how the posts arrangements (hexagonal and square), distance and size, and surface charge change the field gradients. Our results provide criteria at which the assumption of uniform field is valid, which can have important implications in designing microfluidic units where either a high field gradient is favored (mixing) or not (separation).
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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".