Numerical Modelling of Mass Transfer Through Micro and Nano Capillaries
Bibliographic record
Abstract
Multicomponent mass transport in the micro/nano scale is one of the most important phenomena in many engineering processes such as fuel cells. Therefore, a through understanding of the underlying physics and modeling techniques for mass transport is of crucial importance. According to Kerkhof et al. [1], due to the approximations made in the derivation of the classic transport equations for diffusion-convective dominated problems, the commonly used approach of modeling these problems by the Maxwell-Stefan and Navier-Stokes equations results in trends that are contrary to experiments even for elementary problems like gaseous counter diffusion in capillaries. A new formulation to model molecular fluid transport in multi component systems is then presented. The main aim of this study is to develop a combined experimental-numerical program to study the validity of the classical and the proposed formulations. We discuss the development of an in-house written C/C++ Object Oriented program that solves the classical and recently presented formulation numerically.
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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".