Effect of melting and heat generation/absorption on Sisko nanofluid over a stretching surface with nonlinear radiation
Bibliographic record
Abstract
Abstract The aim of the present investigation is framing the features of heat generation/absorption and chemical reaction on a non-Newtonian (Sisko) nanofluid over a stretching surface under the influence of nonlinear radiation. The non-dimensionally developed boundary layer equations are first deduced with suitable transformations and then solved numerically by the Runge–Kutta–Fehlberg fourth–fifth method with shooting technique for different values of parameters. The most relevant outcomes of the present study are that augmented magnetic field strength and melting parameter undermine the flow velocity establishing a thinner hydrodynamics boundary layer, while the Sisko fluid parameter, stretching parameter and Prandtl number show the opposite trend. Another important outcome is that an increase in the Sisko fluid parameter, stretching parameter and heat generation decreases the fluid temperature leading to a diminution in the thermal boundary layer. The effects of different natural parameters on the skin friction coefficient, Nusselt and Sherwood numbers are examined graphically. For a limiting case of the present model, an excellent agreement has been found for the obtained solution with the existing literature.
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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 | 0.000 |
| 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) | 0.001 | 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".