Significance of magnetohydrodynamic Williamson Sutterby nanofluid due to a rotating cone with bioconvection and anisotropic slip
Bibliographic record
Abstract
Abstract The thermal transmission outcomes of Williamson Sutterby nanofluids owing to spinning cone with gyrotactic micro‐organisms such as self‐motivated microbes along with anisotropic slip conditions are probed in this article. The axi‐symmetric, unstable three‐dimensional stream of fluids is swayed by magnetic and buoyancy forces. Utilizing appropriate similarity variables, the leading partial differential formulation for velocity, temperature, concentration, and motile density of nanofluids are altered into nonlinear ordinary differential equations and these equations together with boundary constraints are resolved by computational code for Runga–Kutta method in MATLAB platform. A concise computational strategy is made by altering the inputs of influential factors. Nusselt number, Sherwood number, and motile density number are also computed and listed in tables. As the magnitudes of the slip parameters expand, the Nusselt number, and Sherwood number decline. The velocity along the x ‐axis and the concentration variations amplify as the u ‐velocity slip and solutal slip parameters are boosted. The temperature profile goes down for boosted values of A and . The fluids temperature distribution enhances directly with thermophoretic effect and Brownian motion of nano‐entities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".