Flow and heat transfer over a moving surface with nonlinear velocity and variable thickness in a nanofluid in the presence of thermal radiation
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Bibliographic record
Abstract
We investigate the flow and heat transfer in nanofluids over a continuous variable thickness surface subjected to nonlinear velocity and thermal radiation. Three types of nanofluids, namely Cu, Ag, and Al 2 O 3 were studied. A similarity transformation was used to obtain a system of nonlinear ordinary differential equations, which was solved numerically for general conditions. Numerical results were obtained for the skin friction, Nusselt number as well as for the velocity and temperature for selected values of the governing parameters, such as nanoparticle volume friction, surface thickness parameter, velocity power index parameter, and radiation parameter. A comparison of obtained numerical results is made with previously published results in some special cases, and found to be in a good agreement.
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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 | 0.000 |
| 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 it