Thermo-solutal convection of a rotating MHD flow of a chemically reacting fluid with thermal diffusion and Hall current under ramped conditions
Bibliographic record
Abstract
The ongoing investigation is concerned with the study of a naturally convective, hydromagnetic, two-dimensional flow of a viscous, electrically conducting, incompressible and rotating fluid which passes through an abruptly started vertically projected infinite plate subjected to ramped velocity, temperature and concentration. Thermal diffusion, heat source, Hall current and chemical reactions’ impacts are also checked on the fluid movement. The Laplace transformation technique has been employed to solve the dimensionless governing momentum, energy and Species Continuity equations. The impacts of several parameters, such as heat source, thermal radiation, the Soret number, Schmidt number, chemical reaction, magnetic parameter, Hall and Ramped parameters, are examined on the fluid velocity, temperature, concentration, the Sherwood number, Nusselt number and skin friction coefficient, and then they are represented either graphically or in tabulated form. Our results suggest that raising the Hall parameter decreases the viscous drag. The incremental value of the ramped parameter diminishes both the concentration and temperature field. Apart from all these, a very unique scenario is observed, and that is such that nullifying the buoyancy forces and increasing the ramped parameter values lead to the decrement of fluid velocity, whereas in the presence of buoyancy force, an increment of ramped parameter leads to the increment of fluid velocity.
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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 | 0.000 |
| 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".