Heat and Mass Transfer Analysis of Magnetized Micropolar Nanofluid Flow With Soret and Dufour Effects: Triple Solutions
Bibliographic record
Abstract
Energy and mass transfer play a major role in several engineering and technological processes, such as air conditioning, mechanical power collectors, food processing, refrigeration, and heat exchangers. This research aims to investigate the radiative flow of an incompressible hydromagnetic micropolar nanofluid by incorporating Soret and Dufour effects. The flow partial differential equations of this study are developed using the boundary layer approximation. The modeled equations are then transformed into nonlinear ordinary differential equations by applying the appropriate transformation. The MATLAB package that comes with BVP4C is used to establish the numerical solutions for this investigation. In addition, a comparison of the outcomes is presented with previously published material. The comparison shows that, in a particular case, our current results resemble the previous results very well. It is observed that temperature distribution shows an increasing behavior against the increment in Soret and Dufour impacts.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".