Studying the kinetics of thiols’ self-assembled monolayer formation in microfluidic channels
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Bibliographic record
Abstract
The kinetics of microfluidic-based thiolic self-assembled monolayer (SAM) formation on the metallic surfaces has been studied through numerical simulation. The computational model simultaneously solves the equations of thiols’ mass transport, a two-dimensional diffusion-convection, coupled to the one-dimensional self-assembly on the metallic surface. The model is employed in examining the effect of input thiol concentration and flow velocity on the kinetics, as well as studying the effect of change in microchannel height and thiols’ packing density. In addition, the SAM kinetics in pressure and electrokinetically driven flows are compared to each other. Dimensionless groups are used to compare the reaction and fluidic phenomena present and explain the trends observed in the numerical simulations. Except the concentration, other parameters were observed to impose minor impacts on the kinetics. Namely, simulation results confirmed the possibility of achieving a 15-min self-assembly period versus the conventional 24-h process time. However, due to reaction-limited nature of thiols self-assembly use of microfluidics cannot help in achieving a considerably faster kinetics. The result of the numerical simulation is verified by an analytical model and compared to experimental data in the literature.
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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 | 0.000 | 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 it