Transverse diffusion of laminar flow profiles – a generic method for mixing reactants in capillary microreactor
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Bibliographic record
Abstract
The capillary is an attractive format for integrated microanalyses, which start with the injection of separate reactants into the capillary and their mixing inside the capillary. Due to the nonturbulent nature of flow inside the capillary, mixing reactants in a generic way is a challenging task. Three approaches have been suggested as a solution: mixing by electrophoresis, mixing by longitudinal diffusion, and, most recently, mixing by transverse diffusion of laminar flow profiles (TDLFP). This is the first review on TDLFP, describing: (i) the physical basis of the method, (ii) its theory, (iii) analytical and numerical solutions for the calculation of concentration profiles of mixed reactants, (iv) up-to-date applications, and (v) problems to be solved and future directions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 it